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• BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
  We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving. The interface combines electroencephalography (EEG) to record brain signals and transcranial magnetic stimula…
  openalex Linxing Jiang, Andrea Stocco, Darby M. Losey, Justin A. Abernethy 等 2019-04-16 置信度 0.72 Interface (matter)Brain–computer interfaceComputer scienceDecoding methodsBlock (permutation group theory)
• Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
  This review systematically explores the application of transformer-based models in EEG signal processing and brain-computer interface (BCI) development, with a distinct focus on ensuring methodological rigour and adhering to empirical validations within the ex…
  openalex Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong 2024-06-12 置信度 0.72 ElectroencephalographyComputer scienceTransformerFrontierSignal processing
• An integrated brain-machine interface platform with thousands of channels
  Abstract Brain-machine interfaces (BMIs) hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical BMIs have not yet been widely adopted, in part because modest channel counts have limited their po…
  openalex Elon Musk, Neuralink 2019-07-17 置信度 0.72 ScalabilityComputer scienceComputer hardwareUSBEmbedded system
• NON-INVASIVE BRAIN-MACHINE INTERACTION
  The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain electri…
  openalex José del R. Millán, Pierre W. Ferrez, Ferran Galán, Eileen Lew 等 2008-08-01 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionWheelchairBrain activity and meditation
• Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
  Increasing evidence suggests that neural population responses have their own internal drive, or dynamics, that describe how the neural population evolves through time. An important prediction of neural dynamical models is that previously observed neural activi…
  openalex Jonathan C. Kao, Paul Nuyujukian, Stephen I. Ryu, Mark M. Churchland 等 2015-07-29 置信度 0.72 Neural activityComputer sciencePopulationBrain–computer interfaceDynamics (music)
• Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
  17 pages, 3 figures, 2 tables.-- This is an open access article distributed under the terms of the Creative Commons Attribution License
  openalex Ndiaye, Matar, Lespez, Laurent, Tribolo, Chantal, Rasse, Michel 等 2024-03-28 置信度 0.72 Insulin sensitivitySugarInsulinCarbohydrate metabolismMetabolism
• Progress and perspectives on targeting nanoparticles for brain drug delivery
  Due to the ability of the blood-brain barrier (BBB) to prevent the entry of drugs into the brain, it is a challenge to treat central nervous system disorders pharmacologically. The development of nanotechnology provides potential to overcome this problem. In t…
  openalex Huile Gao 2016-06-15 置信度 0.72 Drug deliveryTargeted drug deliveryNanotechnologyNanoparticleDrug
• Towards brain-robot interfaces in stroke rehabilitation
  A neurorehabilitation approach that combines robot-assisted active physical therapy and Brain-Computer Interfaces (BCIs) may provide an additional mileage with respect to traditional rehabilitation methods for patients with severe motor impairment due to cereb…
  openalex Manuel Gomez-Rodriguez, Moritz Grosse‐Wentrup, J. Hill, Alireza Gharabaghi 等 2011-06-01 置信度 0.72 NeurorehabilitationBrain–computer interfaceRehabilitationPhysical medicine and rehabilitationComputer science
• Mechanisms of fluid movement into, through and out of the brain: evaluation of the evidence
  Interstitial fluid (ISF) surrounds the parenchymal cells of the brain and spinal cord while cerebrospinal fluid (CSF) fills the larger spaces within and around the CNS. Regulation of the composition and volume of these fluids is important for effective functio…
  openalex Stephen B. Hladky, Margery A. Barrand 2014-01-01 置信度 0.72 Cerebrospinal fluidInterstitial fluidBlood–brain barrierChoroid plexusParenchyma
• A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition
  This paper describes a hybrid brain-computer interface (BCI) technique that combines the P300 potential, the steady state visually evoked potential (SSVEP), and event related de-synchronization (ERD) to solve a complicated multi-task problem consisting of huma…
  openalex Bongjae Choi, Sungho Jo 2013-09-04 置信度 0.72 Brain–computer interfaceHumanoid robotRobotComputer scienceArtificial intelligence
• Enhancing Brain Plasticity to Promote Stroke Recovery
  Stroke disturbs both the structural and functional integrity of the brain. The understanding of stroke pathophysiology has improved greatly in the past several decades. However, effective therapy is still limited, especially for patients who are in the subacut…
  openalex Fan Su, Wendong Xu 2020-10-30 置信度 0.72 NeuroplasticityStroke (engine)NeuroscienceStroke recoveryMedicine
• Application of BCI systems in neurorehabilitation: a scoping review
  PURPOSE: To review various types of electroencephalographic activities of the brain and present an overview of brain-computer interface (BCI) systems' history and their applications in rehabilitation. METHODS: A scoping review of published English literature o…
  openalex Mahdi Bamdad, Homayoon Zarshenas, Mohammad Auais 2015-01-05 置信度 0.72 Brain–computer interfaceNeurorehabilitationRehabilitationComputer scienceElectroencephalography
• Nanoparticle classification, physicochemical properties, characterization, and applications: a comprehensive review for biologists
  Interest in nanomaterials and especially nanoparticles has exploded in the past decades primarily due to their novel or enhanced physical and chemical properties compared to bulk material. These extraordinary properties have created a multitude of innovative a…
  openalex Nadeem Joudeh, Dirk Linke 2022-06-07 置信度 0.72 NanotechnologyCharacterization (materials science)NanoparticleChemistryMaterials science
• Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
  In order to understand the working brain as a network, it is essential to identify the mechanisms by which information is gated between regions. We here propose that information is gated by inhibiting task-irrelevant regions, thus routing information to task-r…
  openalex Ole Jensen, Ali Mazaheri 2010-01-01 置信度 0.72 Alpha (finance)GatingTask (project management)Brain activity and meditationNeuroscience
• The associative brain at work: Evidence from paired associative stimulation studies in humans
  openalex Antonio Suppa, Angelo Quartarone, Hartwig R. Siebner, Robert Chen 等 2017-09-05 置信度 0.72 NeuroscienceHebbian theoryLong-term potentiationNeuroplasticityStimulus (psychology)
• Network neuroscience for optimizing brain–computer interfaces
  openalex Fabrizio De Vico Fallani, Danielle S. Bassett 2019-01-08 置信度 0.72 Computer sciencePerspective (graphical)Field (mathematics)Function (biology)Computational neuroscience
• Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
  Electroencephalography (EEG) is a non-invasive technique used to record the brain's evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, are increasingly being app…
  openalex Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok 等 2021-11-18 置信度 0.72 ElectroencephalographyComputer scienceArtificial intelligenceFeature extractionSupport vector machine
• A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
  BACKGROUND: Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body…
  openalex Emil Jovanov, Aleksandar Milenković, Chris Otto, Piet C. de Groen 2005-03-01 置信度 0.72 Body area networkComputer scienceWirelessWireless sensor networkStandardization
• The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
  openalex György Buzsáki, Costas A. Anastassiou, Christof Koch 2012-05-18 置信度 0.72 ExtracellularNeuroscienceTransmembrane proteinSIGNAL (programming language)Electrophysiology
• Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment
  Controlling a brain-computer interface (BCI) is a difficult task that requires extensive training. Particularly in the case of motor imagery BCIs, users may need several training sessions before they learn how to generate desired brain activity and reach an ac…
  openalex Maryam Alimardani, Shuichi Nishio, Hiroshi Ishiguro 2018-10-17 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceTask (project management)Interface (matter)
• Review of Brain Computer Interface Components and Corresponding Research Topics
  This paper conducts a research on the literature of Brain Computer Interface(BCI) in recent years, inducing the four components of BCI and the research topics respectively, and providing a guide to newcomers for exploring BCI.BCI is divided into four parts inc…
  crossref Kang Wang, Xueqian Wang, Bin Liang, Gang Li 等 2016-02-24T21:36:30Z 置信度 0.70
• A Wireless Brain-Machine Interface for Real-Time Speech Synthesis
  BACKGROUND: Brain-machine interfaces (BMIs) involving electrodes implanted into the human cerebral cortex have recently been developed in an attempt to restore function to profoundly paralyzed individuals. Current BMIs for restoring communication can provide i…
  openalex Frank H. Guenther, Jonathan S. Brumberg, E. Joseph Wright, Alfonso Nieto-Castañón 等 2009-12-08 置信度 0.72 Computer scienceLocked-in syndromeSpeech recognitionMotor cortexBrain–computer interface
• Methodological consensus on clinical proton MRS of the brain: Review and recommendations
  Proton MRS (1H MRS) provides noninvasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Although most modern clinical MR scanners support MRS capabilities, routine use is largely restric…
  openalex Martin Wilson, Ovidiu C. Andronesi, Peter B. Barker, Robert Bartha 等 2019-03-28 置信度 0.72 MedicineMedical physics
• Lesion analysis of the brain areas involved in language comprehension
  openalex Nina F. Dronkers, David P. Wilkins, Robert D. Van Valin, Brenda B. Redfern 等 2004-02-12 置信度 0.72 PsychologyVoxelLesionNeuroimagingMiddle temporal gyrus
• Direct-Sense Brain–Computer Interfaces and Wearable Computers
  Brain-computer interfaces (BCIs) allow users to communicate directly with external devices via their brain signals. Recently, BCIs, and wearable computers in particular, have been receiving more attention by government and industry as an alternative means of i…
  openalex Chin‐Teng Lin, Thomas Do 2020-12-22 置信度 0.72 Brain–computer interfaceWearable computerHuman–computer interactionComputer scienceVirtual reality
• EEG-based brain–computer interfaces exploiting steady-state somatosensory-evoked potentials: a literature review
  A brain-computer interface (BCI) aims to derive commands from the user's brain activity in order to relay them to an external device. To do so, it can either detect a spontaneous change in the mental state, in the so-called 'active' BCIs, or a transient or sus…
  openalex Jimmy Petit, José Rouillard, François Cabestaing 2021-10-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceSomatosensory systemBrain activity and meditation
• A Review of User Interface Design for Interactive Machine Learning
  Interactive Machine Learning (IML) seeks to complement human perception and intelligence by tightly integrating these strengths with the computational power and speed of computers. The interactive process is designed to involve input from the user but does not…
  openalex John J. Dudley, Per Ola Kristensson 2018-06-13 置信度 0.72 Computer scienceHuman–computer interactionProcess (computing)Interface (matter)Complement (music)
• Exoskeletons and robotic prosthetics: a review of recent developments
  Purpose The purpose of this paper is to review recent developments in exoskeletons and robotic prosthetics. Design/methodology/approach This paper first describes a number of recently developed exoskeletons for military, civil and medical applications. It then…
  openalex Robert Bogue 2009-08-21 置信度 0.72 ExoskeletonEngineeringHuman–computer interactionComputer scienceEngineering ethics
• Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II.
  pubmed Röhrbein F, Senden M 2023 置信度 0.82
• Efficient push-grasping for multiple target objects in clutter environments.
  Intelligent manipulation of robots in an unstructured environment is an important application field of artificial intelligence, which means that robots must have the ability of autonomous cognition and decision-making. A typical example of this type of environ…
  pubmed Wu L, Chen Y, Li Z, Liu Z 2023 置信度 0.82
• Quasi-passive lower limbs exosuit: an in-depth assessment of fatigue, kinematic and muscular patterns while comparing assistive strategies on an expert subject's gait analysis.
  Wearable robots are becoming a valuable solution that helps injured, and elderly people regain mobility and improve clinical outcomes by speeding up the rehabilitation process. The XoSoft exosuit identified several benefits, including improvement of assistance…
  pubmed Di Natali C, Ortiz J, Caldwell DG 2023 置信度 0.82
• Assistance level quantification-based human-robot interaction space reshaping for rehabilitation training.
  Stroke has become a major disease that seriously threatens human health due to its high incidence and disability rates. Most patients undergo upper limb motor dysfunction after stroke, which significantly impairs the ability of stroke survivors in their activi…
  pubmed Li X, Lu Q, Chen P, Gong S 等 2023 置信度 0.82
• Gradient adaptive sampling and multiple temporal scale 3D CNNs for tactile object recognition.
  Tactile object recognition (TOR) is very important for the accurate perception of robots. Most of the TOR methods usually adopt uniform sampling strategy to randomly select tactile frames from a sequence of frames, which will lead to a dilemma problem, i.e., a…
  pubmed Qian X, Meng J, Wang W, Jiang L 2023 置信度 0.82
• A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems.
  The near-infrared (NIR) image obtained by an NIR camera is a grayscale image that is inconsistent with the human visual spectrum. It can be difficult to perceive the details of a scene from an NIR scene; thus, a method is required to convert them to visible im…
  pubmed Shi S, Jiang Q, Jin X, Wang W 等 2023 置信度 0.82
• A directionally selective collision-sensing visual neural network based on fractional-order differential operator.
  In this paper, we propose a directionally selective fractional-order lobular giant motion detector (LGMD) visual neural network. Unlike most collision-sensing network models based on LGMDs, our model can not only sense collision threats but also obtain the mot…
  pubmed Wang Y, Li H, Zheng Y, Peng J 2023 置信度 0.82
• Automatic vessel plate number recognition for surface unmanned vehicles with marine applications.
  In the practical application scenarios of USVs, it is necessary to identify a vessel in order to accomplish tasks. Considering the sensors equipped on the USV, visible images provide the fastest and most efficient way of determining the hull number. The curren…
  pubmed Zhang R, Zhang L, Su Y, Yu Q 等 2023 置信度 0.82
• Real-time depth completion based on LiDAR-stereo for autonomous driving.
  The integration of multiple sensors is a crucial and emerging trend in the development of autonomous driving technology. The depth image obtained by stereo matching of the binocular camera is easily influenced by environment and distance. The point cloud of Li…
  pubmed Wei M, Zhu M, Zhang Y, Wang J 等 2023 置信度 0.82
• Effect of gait training using Welwalk on gait pattern in individuals with hemiparetic stroke: a cross-sectional study.
  We aimed to explore the effect of gait training using Welwalk on gait patterns by comparing differences in gait patterns between robotic-assisted gait training using Welwalk and gait training using an orthosis in individuals with hemiparetic stroke.
  pubmed Ii T, Hirano S, Imoto D, Otaka Y 2023 置信度 0.82
• Grade-control outdoor turning flight of robo-pigeon with quantitative stimulus parameters.
  The robo-pigeon using homing pigeons as a motion carrier has great potential in search and rescue operations due to its superior weight-bearing capacity and sustained flight capabilities. However, before deploying such robo-pigeons, it is necessary to establis…
  pubmed Fang K, Mei H, Tang Y, Wang W 等 2023 置信度 0.82
• Understanding the neural mechanisms of empathy toward robots to shape future applications.
  This article provides an overview on how modern neuroscience evaluations link to robot empathy. It evaluates the brain correlates of empathy and caregiving, and how they may be related to the higher functions with an emphasis on women. We discuss that the unde…
  pubmed Chin JH, Haring KS, Kim P 2023 置信度 0.82
• Wrist redundancy management during pointing tasks remains stable over time and in presence of a visuomotor perturbation.
  Pointing at a screen using wrist and forearm movements is a kinematically redundant task, and the Central Nervous System seems to manage this redundancy by using a simplifying strategy, named Donders' Law for the wrist. In this work we investigated (1) whether…
  pubmed Raiano L, Noccaro A, Di Pino G, Formica D 2023 Apr 26 置信度 0.82
• Robust and reusable self-organized locomotion of legged robots under adaptive physical and neural communications.
  Animals such as cattle can achieve versatile and elegant behaviors through automatic sensorimotor coordination. Their self-organized movements convey an impression of adaptability, robustness, and motor memory. However, the adaptive mechanisms underlying such …
  pubmed Sun T, Dai Z, Manoonpong P 2023 置信度 0.82
• A robotic arm control system with simultaneous and sequential modes combining eye-tracking with steady-state visual evoked potential in virtual reality environment.
  At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-state…
  pubmed Guo R, Lin Y, Luo X, Gao X 等 2023 置信度 0.82
• Adaptive cueing strategy for gait modification: A case study using auditory cues.
  People with Parkinson's (PwP) experience gait impairments that can be improved through cue training, where visual, auditory, or haptic cues are provided to guide the walker's cadence or step length. There are two types of cueing strategies: open and closed-loo…
  pubmed Wu TLY, Murphy A, Chen C, Kulić D 2023 置信度 0.82
• 3D network with channel excitation and knowledge distillation for action recognition.
  Modern action recognition techniques frequently employ two networks: the spatial stream, which accepts input from RGB frames, and the temporal stream, which accepts input from optical flow. Recent researches use 3D convolutional neural networks that employ spa…
  pubmed Hu Z, Mao J, Yao J, Bi S 2023 置信度 0.82
• Model transfer from 2D to 3D study for boxing pose estimation.
  Boxing as a sport is growing on Chinese campuses, resulting in a coaching shortage. The human pose estimation technology can be employed to estimate boxing poses and teach interns to relieve the shortage. Currently, 3D cameras can provide more depth informatio…
  pubmed Lin J, Xie X, Wu W, Xu S 等 2023 置信度 0.82
• Upper limb home-based robotic rehabilitation in chronic stroke patients: A pilot study.
  Robotic therapy allow to propose sessions of controlled and identical exercises, customizing settings, and characteristics on the individual patient. The effectiveness of robotic assisted therapy is still under study and the use of robots in clinical practice …
  pubmed Bressi F, Campagnola B, Cricenti L, Santacaterina F 等 2023 置信度 0.82
• Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy.
  Investigating the pathological mechanisms of developmental disorders is a challenge because the symptoms are a result of complex and dynamic factors such as neural networks, cognitive behavior, environment, and developmental learning. Recently, computational m…
  pubmed Soda T, Ahmadi A, Tani J, Honda M 等 2023 置信度 0.82
• Ground Reaction Force and Moment Estimation through EMG Sensing Using Long Short-Term Memory Network during Posture Coordination.
  Motion prediction based on kinematic information such as body segment displacement and joint angle has been widely studied. Because motions originate from forces, it is beneficial to estimate dynamic information, such as the ground reaction force (GRF), in add…
  pubmed Sakamoto SI, Hutabarat Y, Owaki D, Hayashibe M 2023 置信度 0.82
• Research on control strategy of vehicle stability based on dynamic stable region regression analysis.
  The intervention time of stability control system is determined by stability judgment, which is the basis of vehicle stability control. According to the different working conditions of the vehicle, we construct the phase plane of the vehicle's sideslip angle a…
  pubmed Liu Z, Li Y, Li W, Li Z 等 2023 置信度 0.82
• EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network.
  One of the fundamental limitations in human biomechanics is that we cannot directly obtain joint moments during natural movements without affecting the motion. However, estimating these values is feasible with inverse dynamics computation by employing external…
  pubmed Truong MTN, Ali AEA, Owaki D, Hayashibe M 2023 Mar 22 置信度 0.82
• Hierarchical strategy for sEMG classification of the hand/wrist gestures and forces of transradial amputees.
  The myoelectric control strategy, based on surface electromyographic signals, has long been used for controlling a prosthetic system with multiple degrees of freedom. Several methods classify gestures and force levels but the simultaneous real-time control of …
  pubmed Leone F, Mereu F, Gentile C, Cordella F 等 2023 置信度 0.82
• Real-time vehicle target detection in inclement weather conditions based on YOLOv4.
  As a crucial component of the autonomous driving task, the vehicle target detection algorithm directly impacts driving safety, particularly in inclement weather situations, where the detection precision and speed are significantly decreased. This paper investi…
  pubmed Wang R, Zhao H, Xu Z, Ding Y 等 2023 置信度 0.82
• Learning robotic manipulation skills with multiple semantic goals by conservative curiosity-motivated exploration.
  Reinforcement learning (RL) empowers the agent to learn robotic manipulation skills autonomously. Compared with traditional single-goal RL, semantic-goal-conditioned RL expands the agent capacity to accomplish multiple semantic manipulation instructions. Howev…
  pubmed Han C, Peng Z, Liu Y, Tang J 等 2023 置信度 0.82
• Model pruning based on filter similarity for edge device deployment.
  Filter pruning is widely used for inference acceleration and compatibility with off-the-shelf hardware devices. Some filter pruning methods have proposed various criteria to approximate the importance of filters, and then sort the filters globally or locally t…
  pubmed Wu T, Song C, Zeng P 2023 置信度 0.82
• Do different robot appearances change emotion recognition in children with ASD?
  Socially Assistive Robotics has emerged as a potential tool for rehabilitating cognitive and developmental disorders in children with autism. Social robots found in the literature are often able to teach critical social skills, such as emotion recognition and …
  pubmed Pinto-Bernal MJ, Sierra M SD, Munera M, Casas D 等 2023 置信度 0.82
• Continuous versus discrete robotic feedback for brain-computer interfaces aimed for neurorehabilitation.
  Brain-Computer Interfaces (BCI) can allow control of external devices using motor imagery (MI) decoded from electroencephalography (EEG). Although BCI have a wide range of applications including neurorehabilitation, the low spatial resolution of EEG, coupled t…
  pubmed Carino-Escobar RI, Rodríguez-García ME, Carrillo-Mora P, Valdés-Cristerna R 等 2023 置信度 0.82
• Viewpoint planning with transition management for active object recognition.
  Active object recognition (AOR) provides a paradigm where an agent can capture additional evidence by purposefully changing its viewpoint to improve the quality of recognition. One of the most concerned problems in AOR is viewpoint planning (VP) which refers t…
  pubmed Sun H, Zhu F, Li Y, Zhao P 等 2023 置信度 0.82
• Reinforcement learning based variable damping control of wearable robotic limbs for maintaining astronaut pose during extravehicular activity.
  As astronauts perform on-orbit servicing of extravehicular activity (EVA) without the help of the space station's robotic arms, it will be rather difficult and labor-consuming to maintain the appropriate position in case of impact. In order to solve this probl…
  pubmed Zhao S, Zheng T, Sui D, Zhao J 等 2023 置信度 0.82
• Efficient three-dimensional point cloud object detection based on improved Complex-YOLO.
  Lidar-based 3D object detection and classification is a critical task for autonomous driving. However, inferencing from exceedingly sparse 3D data in real-time is a formidable challenge. Complex-YOLO solves the problem of point cloud disorder and sparsity by p…
  pubmed Shao Y, Sun Z, Tan A, Yan T 2023 置信度 0.82
• Editorial: Neuromodulation in COVID-19: From basic research to clinical applications.
  pubmed Kaniusas E, Fudim M, Czura CJ, Panetsos F 2023 置信度 0.82
• A multi-scale pooling convolutional neural network for accurate steel surface defects classification.
  Surface defect detection is an important technique to realize product quality inspection. In this study, we develop an innovative multi-scale pooling convolutional neural network to accomplish high-accuracy steel surface defect classification. The model was bu…
  pubmed Fu G, Zhang Z, Le W, Li J 等 2023 置信度 0.82
• PREDICTOR: A Physical emulatoR enabling safEty anD ergonomICs evaluation and Training of physical human-rObot collaboRation.
  Safety and ergonomics of Physical Human-Robot Collaboration (PHRC) are crucial to make human-robot collaborative systems trustworthy and make a significant impact in real-world applications. One big obstacle to the development of relevant research is the lack …
  pubmed Sunesson CE, Schøn DT, Hassø CNP, Chinello F 等 2023 置信度 0.82
• Soft-body dynamics induces energy efficiency in undulatory swimming: A deep learning study.
  Recently, soft robotics has gained considerable attention as it promises numerous applications thanks to unique features originating from the physical compliance of the robots. Biomimetic underwater robots are a promising application in soft robotics and are e…
  pubmed Li G, Shintake J, Hayashibe M 2023 置信度 0.82
• Design of a SMA-based soft composite structure for wearable rehabilitation gloves.
  The combination of smart soft composite structure based shape memory alloy (SMA) and exoskeleton technology has the advantages of light weight, energy saving, and great human-exoskeleton interaction. However, there are no relevant studies on the application of…
  pubmed Xie Q, Meng Q, Yu W, Wu Z 等 2023 置信度 0.82
• Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot.
  The flexible joint is a crucial component for the inspection robot to flexible interaction with nuclear power facilities. This paper proposed a neural network aided flexible joint structure optimization method with the Design of Experiment (DOE) method for the…
  pubmed Wang G, Li J, Ma X, Chen X 等 2023 置信度 0.82
• DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model.
  Recent adversarial attack research reveals the vulnerability of learning-based deep learning models (DNN) against well-designed perturbations. However, most existing attack methods have inherent limitations in image quality as they rely on a relatively loose n…
  pubmed Liu R, Jin X, Hu D, Zhang J 等 2023 置信度 0.82
• Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle.
  This study explains how the leader-follower relationship and turn-taking could develop in a dyadic imitative interaction by conducting robotic simulation experiments based on the free energy principle. Our prior study showed that introducing a parameter during…
  pubmed Wirkuttis N, Ohata W, Tani J 2023 Jan 31 置信度 0.82
• Adaptive neural network projection analytical fault-tolerant control of underwater salvage robot with event trigger.
  To solve the problem of control failure caused by system failure of deep-water salvage equipment under severe sea conditions, an event-triggered fault-tolerant control method (PEFC) based on proportional logarithmic projection analysis is proposed innovatively…
  pubmed Guo G, Zhang Q, Zhang Y, Tan W 等 2022 置信度 0.82
• Bio-inspired neural networks for decision-making mechanisms and neuromodulation for motor control in a differential robot.
  The aim of this work is to propose bio-inspired neural networks for decision-making mechanisms and modulation of motor control of an automaton. In this work, we have adapted and applied cortical synaptic circuits, such as short-term memory circuits, winner-tak…
  pubmed Guerrero-Criollo RJ, Castaño-López JA, Hurtado-López J, Ramirez-Moreno DF 2023 置信度 0.82
• Axonal Guidance Using Biofunctionalized Straining Flow Spinning Regenerated Silk Fibroin Fibers as Scaffold.
  After an injury, the limited regenerative capacity of the central nervous system makes the reconnection and functional recovery of the affected nervous tissue almost impossible. To address this problem, biomaterials appear as a promising option for the design …
  pubmed Castro-Domínguez C, Lozano-Picazo P, Álvarez-López A, Garrote-Junco J 等 2023 Feb 4 置信度 0.82
• Adaptive load feedback robustly signals force dynamics in robotic model of Carausius morosus stepping.
  Animals utilize a number of neuronal systems to produce locomotion. One type of sensory organ that contributes in insects is the campaniform sensillum (CS) that measures the load on their legs. Groups of the receptors are found on high stress regions of the le…
  pubmed Zyhowski WP, Zill SN, Szczecinski NS 2023 置信度 0.82
• Neural signatures of visuo-motor integration during human-robot interactions.
  Visuo-motor integration shapes our daily experience and underpins the sense of feeling in control over our actions. The last decade has seen a surge in robotically and virtually mediated interactions, whereby bodily actions ultimately result in an artificial m…
  pubmed Marchesotti S, Bernasconi F, Rognini G, De Lucia M 等 2022 置信度 0.82
• Trans-UTPA: PSO and MADDPG based multi-UAVs trajectory planning algorithm for emergency communication.
  Communication infrastructure is damaged by disasters and it is difficult to support communication services in affected areas. UAVs play an important role in the emergency communication system. Due to the limited airborne energy of a UAV, it is a critical techn…
  pubmed Li J, Cao S, Liu X, Yu R 等 2022 置信度 0.82
• Keyframe image processing of semantic 3D point clouds based on deep learning.
  With the rapid development of web technologies and the popularity of smartphones, users are uploading and sharing a large number of images every day. Therefore, it is a very important issue nowadays to enable users to discover exactly the information they need…
  pubmed Wang J, Lv W, Wang Z, Zhang X 等 2022 置信度 0.82
• Prescribed performance adaptive event-triggered consensus control for multiagent systems with input saturation.
  In this paper, a prescribed performance adaptive event-triggered consensus control method is developed for a class of multiagent systems with the consideration of input dead zone and saturation. In practical engineering applications, systems are inevitably suf…
  pubmed Yue X, Liu J, Chen K, Zhang Y 等 2022 置信度 0.82
• Effect analysis of neural network robot system in music relaxation training to alleviate adverse reactions of chemotherapy in patients with breast cancer.
  Music therapy is a common method to relieve anxiety and pain in cancer patients after surgery in recent years, but due to the lack of technical and algorithmic support, this therapy is not particularly stable and the therapeutic effect is not good. In this stu…
  pubmed Teng Y, Bao J, Li Y, Ye H 2023 置信度 0.82
• Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach.
  The dynamics of a robot may vary during operation due to both internal and external factors, such as non-ideal motor characteristics and unmodeled loads, which would lead to control performance deterioration and even instability. In this paper, the adaptive op…
  pubmed Zhang J, Li Z, Wang S, Dai Y 等 2022 置信度 0.82
• A Siamese tracker with "dynamic-static" dual-template fusion and dynamic template adaptive update.
  In recent years, visual tracking algorithms based on Siamese networks have attracted attention for their desirable balance between speed and accuracy. The performance of such tracking methods relies heavily on target templates. Static templates cannot cope wit…
  pubmed Sun D, Wang X, Man Y, Deng N 等 2022 置信度 0.82
• Facial image inpainting for big data using an effective attention mechanism and a convolutional neural network.
  Big data facial image is an important identity information for people. However, facial image inpainting using existing deep learning methods has some problems such as insufficient feature mining and incomplete semantic expression, leading to output image artif…
  pubmed Lu X, Lu R, Zhao W, Ma E 2022 置信度 0.82
• A deep ensemble learning method for single finger-vein identification.
  Finger-vein biometrics has been extensively investigated for personal verification. Single sample per person (SSPP) finger-vein recognition is one of the open issues in finger-vein recognition. Despite recent advances in deep neural networks for finger-vein re…
  pubmed Liu C, Qin H, Song Q, Yan H 等 2022 置信度 0.82
• Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research.
  Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting-edge exos…
  pubmed Masengo G, Zhang X, Dong R, Alhassan AB 等 2022 置信度 0.82
• Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles.
  A system with multiple cooperating unmanned aerial vehicles (multi-UAVs) can use its advantages to accomplish complicated tasks. Recent developments in deep reinforcement learning (DRL) offer good prospects for decision-making for multi-UAV systems. However, t…
  pubmed Yue L, Yang R, Zhang Y, Zuo J 2022 置信度 0.82
• Research on a hybrid neural network task assignment algorithm for solving multi-constraint heterogeneous autonomous underwater robot swarms.
  Studying the task assignment problem of multiple underwater robots has a broad effect on the field of underwater exploration and can be helpful in military, fishery, and energy. However, to the best of our knowledge, few studies have focused on multi-constrain…
  pubmed Ru J, Hao D, Zhang X, Xu H 等 2022 置信度 0.82
• Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature.
  To solve the ghosting artifacts problem in dynamic scene multi-scale exposure fusion, an improved multi-exposure fusion method has been proposed without ghosting based on the exposure fusion framework and the color dissimilarity feature of this study. This fus…
  pubmed Chen S, Li Z, Shen D, An Y 等 2022 置信度 0.82
• Actuation delay compensation of robots in semi-physical test.
  In general, the traditional spacecraft semi-physical docking tests include the evaluation of docking and separation performance. However, these tests often rely on "specific" equipment, such as specially designed actuators and fast-response hydraulic systems, …
  pubmed Zhang X, He Y, Xu Z, Jiang Z 等 2022 置信度 0.82
• Realistic Actor-Critic: A framework for balance between value overestimation and underestimation.
  The value approximation bias is known to lead to suboptimal policies or catastrophic overestimation bias accumulation that prevent the agent from making the right decisions between exploration and exploitation. Algorithms have been proposed to mitigate the abo…
  pubmed Li S, Tang Q, Pang Y, Ma X 等 2022 置信度 0.82
• Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication.
  Although the increase in the use of dynamical modeling in the literature on cultural evolution makes current models more mathematically sophisticated, these models have yet to be tested or validated. This paper provides a testable deep active inference formula…
  pubmed Kastel N, Hesp C, Ridderinkhof KR, Friston KJ 2022 置信度 0.82
• Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome.
  We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans . The robot interacts with the envir…
  pubmed Valencia Urbina CE, Cannas SA, Gleiser PM 2022 置信度 0.82
• Dual-flow network with attention for autonomous driving.
  We present a dual-flow network for autonomous driving using an attention mechanism. The model works as follows: (i) The perception network extracts red, blue, and green (RGB) images from the video at low speed as input and performs feature extraction of the im…
  pubmed Yang L, Lei W, Zhang W, Ye T 2022 置信度 0.82
• A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs.
  Powered lower-limb assistive devices, such as prostheses and exoskeletons, are a promising option for helping mobility-impaired individuals regain functional gait. Gait phase prediction plays an important role in controlling these devices and evaluating whethe…
  pubmed Kim M, Hargrove LJ 2022 置信度 0.82
• Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city.
  In this research, an image defogging algorithm is proposed for the electricity transmission line monitoring system in the smart city. The electricity transmission line image is typically situated in the top part of the image which is rather thin in size. Becau…
  pubmed Zhang M, Song Z, Yang J, Gao M 等 2022 置信度 0.82
• Anomaly detection in images with shared autoencoders.
  Anomaly detection is a classical problem in computer vision, namely the determination of the normal from the abnormal when datasets are highly biased toward one class (normal) due to the insufficient sample size of the other class (abnormal). We introduce a no…
  pubmed Jia H, Liu W 2022 置信度 0.82
• Cloth manipulation planning on basis of mesh representations with incomplete domain knowledge and voxel-to-mesh estimation.
  Cloth manipulation is common in both housework and manufacturing. However, robotic cloth manipulation remains challenging, especially for less controlled and open-goal settings. We consider the problem of open-goal planning for robotic cloth manipulation, with…
  pubmed Arnold S, Tanaka D, Yamazaki K 2022 置信度 0.82
• Robotic versus Conventional Overground Gait Training in Subacute Stroke Survivors: A Multicenter Controlled Clinical Trial.
  Although stroke survivors can benefit from robotic gait rehabilitation, stationary robot-assisted gait training needs further investigation. In this paper, we investigated the efficacy of this approach (with an exoskeleton or an end-effector robot) in comparis…
  pubmed Pournajaf S, Calabrò RS, Naro A, Goffredo M 等 2023 Jan 5 置信度 0.82
• The Efficacity of the NeuroAssist Robotic System for Motor Rehabilitation of the Upper Limb-Promising Results from a Pilot Study.
  The research aimed to evaluate the efficacy of the NeuroAssist, a parallel robotic system comprised of three robotic modules equipped with human-robot interaction capabilities, an internal sensor system for torque monitoring, and an external sensor system for …
  pubmed Tohanean N, Tucan P, Vanta OM, Abrudan C 等 2023 Jan 4 置信度 0.82
• Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation.
  Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electromyography, EMG) as control features could be employe…
  pubmed Pichiorri F, Toppi J, de Seta V, Colamarino E 等 2023 Jan 14 置信度 0.82
• A CW-CNN regression model-based real-time system for virtual hand control.
  For upper limb amputees, wearing a myoelectric prosthetic hand is the only way for them to continue normal life. Even until now, the proposal of a high-precision and natural performance real-time control system based on surface electromyography (sEMG) signals …
  pubmed Qin Z, He Z, Li Y, Saetia S 等 2022 置信度 0.82
• UAV path planning method for data collection of fixed-point equipment in complex forest environment.
  In a complicated forest environment, it is usual to install many ground-fixed devices, and patrol personnel periodically collects data from the device to detect forest pests and valuable wild animals. Unlike human patrols, UAV (Unmanned Aerial Vehicles) may co…
  pubmed Cui X, Wang Y, Yang S, Liu H 等 2022 置信度 0.82
• Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits.
  We suggest that the influence of biology in 'biologically inspired robotics' can be embraced at a deeper level than is typical, if we adopt an enactive approach that moves the focus of interest from how problems are solved to how problems emerge in the first p…
  pubmed Egbert MD, Barandiaran XE 2022 置信度 0.82