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Surface electromyography (s-EMG) sensors are a promising way to control upper-limb prostheses. However a training session is necessary in order to set up the controller that will make s-EMG based movement possible. All data recorded during…

Other Quantitative Biology · Quantitative Biology 2015-11-25 Marco Lampacrescia

Non-invasive brain-computer interfaces (BCIs) have the potential to enable intuitive control of prosthetic limbs for individuals with upper limb amputations. However, existing EEG-based control systems face challenges related to signal…

Human-Computer Interaction · Computer Science 2025-11-21 Abdul Basit , Maha Nawaz , Muhammad Shafique

Although there has been recent progress in control of multi-joint prosthetic legs for rhythmic tasks such as walking, control of these systems for non-rhythmic motions and general real-world maneuvers is still an open problem. In this…

Robotics · Computer Science 2019-08-06 Siavash Rezazadeh , David Quintero , Nikhil Divekar , Emma Reznick , Leslie Gray , Robert D. Gregg

Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, the control of interaction torques in partial-assistance…

Clinical myoelectric prostheses lack the sensory feedback and sufficient dexterity required to complete activities of daily living efficiently and accurately. Providing haptic feedback of relevant environmental cues to the user or imbuing…

Robotics · Computer Science 2023-02-01 Neha Thomas , Alexandra J. Miller , Hasan Ayaz , Jeremy D. Brown

Upper limb movement classification, which maps input signals to the target activities, is a key building block in the control of rehabilitative robotics. Classifiers are trained for the rehabilitative system to comprehend the desires of the…

Machine Learning · Computer Science 2023-03-10 Zihao Wang , Ravi Suppiah

The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a challenge. Surface…

A number of studies have proposed to use domain adaptation to reduce the training efforts needed to control an upper-limb prosthesis exploiting pre-trained models from prior subjects. These studies generally reported impressive reductions…

Machine Learning · Computer Science 2017-02-28 Valentina Gregori , Arjan Gijsberts , Barbara Caputo

The hand is one of the most complex and important parts of the human body. The dexterity provided by its multiple degrees of freedom enables us to perform many of the tasks of daily living which involve grasping and manipulating objects of…

Robotics · Computer Science 2018-10-19 Michelle Esponda , Thomas M. Howard

The upper limb robotic exoskeleton is an electromechanical device which use to recover a patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive, focused, positive, and precise training to regain the…

Robotics · Computer Science 2024-09-01 Sanjukta Halder , Amit Kumar

Impedance-based control represents a prevalent strategy in the powered trans femoral prostheses because of its ability to reproduce natural walking. However, most existing studies have developed impedance-based prosthesis controllers for…

Robotics · Computer Science 2024-09-04 Teng Ma , Shucong Yin , Zhimin Hou , Yuxuan Wang , Binxin Huang , Haoyong Yu , Chenglong Fu

The electromyography (EMG) signal is the electrical manifestation of a neuromuscular activation that provides access to physiological processes which cause the muscle to generate force and produce movement. Non invasive prostheses use such…

Machine Learning · Computer Science 2015-11-20 Mara Graziani

The complex ways in which humans utilize their bodies in sports and martial arts are remarkable, and human motion analysis is one of the most effective tools for robot body design and control. On the other hand, motion analysis is not easy,…

On the base of the developed master-slave prosthetic hand-arm robot system, which is controlled mainly based on signals obtained from bending sensors fixed on the data glove, the first idea deduced was to develop and add a multi-dimensional…

Robotics · Computer Science 2021-03-05 Weibang Bai , Yinlai Jiang , Hiroshi Yokoi

An overview of the applications of control theory to prosthetic sense organs including the senses of vision, taste and odor is being presented in this paper. Simulation aspect nowadays has been the centre of research in the field of…

Robotics · Computer Science 2011-11-08 Biswarup Neogi , Soumya Ghosal , Soumyajit Mukherjee , Achintya Das , D. N. Tibarewala

Restoring limb motor function in individuals with spinal cord injury (SCI), stroke, or amputation remains a critical challenge, one which affects millions worldwide. Recent studies show through surface electromyography (EMG) that spared…

In the context of a Brain Computer Interface platform implemented for the arm rehabilitation of mildly impaired stroke patients, two methods of EEG signals processing are compared in terms of (i) their identification performance rate and…

Signal Processing · Electrical Eng. & Systems 2020-09-01 Giulia Cisotto , Silvano Pupolin , Francesco Piccione

Lower-limb prosthesis wearers are more prone to falling than non-amputees. Powered prostheses can reduce this instability of passive prostheses. While shown to be more stable in practice, powered prostheses generally use model-independent…

Robotics · Computer Science 2022-05-05 Rachel Gehlhar , Je-han Yang , Aaron D. Ames

Individuals who use myoelectric upper-limb prostheses often rely heavily on vision to complete their daily activities. They thus struggle in situations where vision is overloaded, such as multitasking, or unavailable, such as poor lighting…

Robotics · Computer Science 2022-11-18 Neha Thomas , Farimah Fazlollahi , Katherine J. Kuchenbecker , Jeremy D. Brown

Multiple Sclerosis (MS) is a heterogeneous autoimmune-mediated disorder affecting the central nervous system, commonly manifesting as fatigue and progressive limb impairment. This can significantly impact quality of life due to weakness or…

Neurons and Cognition · Quantitative Biology 2024-12-02 John S. Russo , Thomas A. Shiels , Chin-Hsuan Sophie Lin , Sam E. John , David B. Grayden