Results 41 to 50 of about 3,364,312 (190)

Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis

Journal of NeuroEngineering and Rehabilitation, 2018
Background Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging.
Levi Hargrove, Laura Miller, Kristi Turner, Todd Kuiken   +3 more
doaj   +1 more source

A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis

IEEE Journal of Translational Engineering in Health and Medicine, 2016
With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each prosthesis motor.
Todd A. Kuiken, Laura A. Miller, Kristi Turner, Levi J. Hargrove   +3 more
doaj   +1 more source

Enhancing Robustness of Surface Electromyography Pattern Recognition at Different Arm Positions for Transhumeral Amputees Using Deep Adversarial Inception Domain Adaptation

Applied Sciences
Pattern recognition in myoelectric control that relies on the myoelectric activity associated with arm motions is an effective control method applied to myoelectric prostheses.
Sujiao Li, Wanjing Sun, Wei Li, Hongliu Yu   +3 more
doaj   +1 more source

Serious gaming to train pattern-recognition based myoelectric control

, 2010
User training of upper-limb myoelectric prostheses using a pattern-recognition based control scheme is currently limited to the clinic and consists of a considerable amount of trial and error due to the lack of appropriate feedback.
Bongers, Raoul M., Kristoffersen, Morten Bak (5102660), Murgia, Alessio (5102663), van der Sluis, Corry (5102657), Murgia, Alessio, Kristoffersen, Morten Bak, van der Sluis, Corry, Bongers, Raoul M. (8166471)   +7 more
core   +1 more source

Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding

Bioengineering, 2023
In myoelectrical pattern recognition (PR), the feature extraction methods for stroke-oriented applications are challenging and remain discordant due to a lack of hemiplegic data and limited knowledge of skeletomuscular function.
Alexey Anastasiev, Hideki Kadone, Aiki Marushima, Hiroki Watanabe, Alexander Zaboronok, Shinya Watanabe, Akira Matsumura, Kenji Suzuki, Yuji Matsumaru, Eiichi Ishikawa   +9 more
doaj   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

High-order circular derivative pattern for image representation and recognition

, 2010
Micropattern based image representation and recognition, e.g. Local Binary Pattern (LBP), has been proved successful over the past few years due to its advantages of illumination tolerance and computational efficiency. However, LBP only encodes the first-
Caelli, T, Zhao, S, Gao, Y, Sanqiang Zhao, Terry Caelli, Yongsheng Gao, Zhao, S., Caelli T., Zhao S., Gao, Y., Gao Y., Caelli, T.   +11 more
core   +1 more source

Literature survey on machine learning techniques for enhancing accuracy of myoelectric hand gesture recognition in real-world prosthetic hand control

Biomimetic Intelligence and Robotics
The human hand, essential for performing daily tasks and facilitating social interaction, is indispensable to everyday life. Millions worldwide experience varying levels of amputation, profoundly affecting their physical, emotional, and psychological ...
Hongquan Le, Marc in Het Panhuis, Gursel Alici   +2 more
doaj   +1 more source

Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition

IEEE Access, 2019
Urban intelligence is an emerging concept which guides a series of infrastructure developments in modern smart cities. Human-computer interaction (HCI) is the interface between residents and the smart cities, it plays a key role in bridging the gap in ...
Jinxian Qi, Guozhang Jiang, Gongfa Li, Ying Sun, Bo Tao   +4 more
doaj   +1 more source

Osseoperceptive EMG Feedback Improves Grasp Force Control in Myoelectric Prosthetic Hands

Advanced Science, EarlyView.
Osseoperception is explored as a non‐invasive pathway for delivering sensory feedback in myoelectric prosthetic control. By encoding the user's electromyographic (EMG) signal through bone‐conducted stimulation, this approach enables predictive grasp force regulation.
Cristian Felipe Blanco‐Diaz, Strahinja Dosen, Leonardo Cappello   +2 more
wiley   +1 more source