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The Electromyography (EMG) signal is the electrical activity produced by cells of skeletal muscles in order to provide a movement. The non-invasive prosthetic hand works with several electrodes, placed on the stump of an amputee, that…

Machine Learning · Computer Science 2016-05-25 Valentina Gregori

Electromyography (EMG) is a measure of muscular electrical activity and is used in many clinical/biomedical disciplines and modern human computer interaction. Myo-electric prosthetics analyze and classify the electrical signals recorded…

Robotics · Computer Science 2024-11-26 Mosab Diab , Ashraf Mohammed , Yinlai Jiang

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

Natural muscles provide mobility in response to nerve impulses. Electromyography (EMG) measures the electrical activity of muscles in response to a nerve's stimulation. In the past few decades, EMG signals have been used extensively in the…

Signal Processing · Electrical Eng. & Systems 2020-01-15 Mohsen Jafarzadeh , Daniel Curtiss Hussey , Yonas Tadesse

Surface electromyography is a valid tool to gather muscular contraction signals from intact and amputated subjects. Electromyographic signals can be used to control prosthetic devices in a noninvasive way distinguishing the movements…

Machine Learning · Computer Science 2015-11-25 Francesca Giordaniello

Hands are used for communicating with the surrounding environment and have a complex structure that enables them to perform various tasks with their multiple degrees of freedom. Hand amputation can prevent a person from performing their…

Robotics · Computer Science 2023-04-24 Atusa Ghorbani , Aghil Yousefi-Koma , Amirhosein Vedadi

For lower arm amputees, prosthetic hands promise to restore most of physical interaction capabilities. This requires to accurately predict hand gestures capable of grabbing varying objects and execute them timely as intended by the user.…

Machine Learning · Computer Science 2021-01-15 Mehrshad Zandigohar , Mo Han , Deniz Erdogmus , Gunar Schirner

State-of-the-art robotic hand prosthetics generate finger and wrist movement through pattern recognition (PR) algorithms using features of forearm electromyogram (EMG) signals, but re- quires extensive training and is prone to poor…

Applications · Statistics 2018-05-09 Md Nazmul Islam , Jonathan Stallings , Ana-Maria Staicu , Dustin Crouch , Lizhi Pan , He Huang

In recent years, real-time control of prosthetic hands has gained a great deal of attention. In particular, real-time analysis of Electromyography (EMG) signals has several challenges to achieve an acceptable accuracy and execution delay.…

Signal Processing · Electrical Eng. & Systems 2021-07-05 Reza Bagherian Azhiri , Mohammad Esmaeili , Mehrdad Nourani

Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-power operation on embedded processors is critical, but to…

Signal Processing · Electrical Eng. & Systems 2019-05-10 Sumit Raurale , John McAllister , Jesus Martinez del Rincon

Regressively-based surface electromyography (sEMG) prosthetics are widely used for their ability to continuously convert muscle activity into finger force and motion. However, they typically require additional kinematic or dynamic sensors,…

Robotics · Computer Science 2025-11-21 Gang Liu , Ye Sun , Zhenxiang Wang , Chuanmei Xi , Ziyang He , Shanshan Guo , Rui Zhang , Dezhong Yao

The upper limb of the body is a vital for various kind of activities for human. The complete or partial loss of the upper limb would lead to a significant impact on daily activities of the amputees. EMG carries important information of…

Human-Computer Interaction · Computer Science 2024-10-28 Sidharth Pancholi , Amit M. Joshi Deepak Joshi , Bradly S. Duerstock

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…

Electromyography (EMG) is a way of measuring the bioelectric activities that take place inside the muscles. EMG is usually performed to detect abnormalities within the nerves or muscles of a target area. The recent developments in the field…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Niloy Sikder , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

One of the most elusive goals in myographic prosthesis control is the ability to reliably decode continuous positions simultaneously across multiple degrees-of-freedom. Goal: To demonstrate dexterous, natural, biomimetic finger and wrist…

Prosthetic arms and hands that can be controlled by the user's electromyography (EMG) signals are emerging. Eventually, these advanced prosthetic devices will be expected to touch and be touched by other people. As realistic as they may…

Medical Physics · Physics 2011-03-31 John-John Cabibihan , Raditya Pradipta , Shuzhi Sam Ge

Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects. We aim to utilize the dexterity of human hands to regulate the contact forces for robotic hands and exploit human…

Robotics · Computer Science 2021-02-12 Ruoshi Wen , Kai Yuan , Qiang Wang , Shuai Heng , Zhibin Li

Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control,…

Robotics · Computer Science 2025-06-11 Kaijie Shi , Wanglong Lu , Hanli Zhao , Vinicius Prado da Fonseca , Ting Zou , Xianta Jiang

Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the user to regain use of an impaired limb. To be fully wearable, such devices must have…

Robotics · Computer Science 2018-02-02 Cassie Meeker , Sangwoo Park , Lauri Bishop , Joel Stein , Matei Ciocarlie

The anthropomorphism of grasping process significantly benefits the experience and grasping efficiency of prosthetic hand wearers. Currently, prosthetic hands controlled by signals such as brain-computer interfaces (BCI) and…

Robotics · Computer Science 2024-12-11 Yansong Xu , Xiaohui Wang , Junlin Li , Xiaoqian Zhang , Feng Li , Qing Gao , Chenglong Fu , Yuquan Leng
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