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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

Surface electromyography (EMG) serves as a pivotal tool in hand gesture recognition and human-computer interaction, offering a non-invasive means of signal acquisition. This study presents a novel methodology for classifying hand gestures…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Abu Saleh Musa Miah , Najmul Hassan , Md. Maniruzzaman , Nobuyoshi Asai , Jungpil Shin

EMG-based hand gesture recognition uses electromyographic~(EMG) signals to interpret and classify hand movements by analyzing electrical activity generated by muscle contractions. It has wide applications in prosthesis control,…

Machine Learning · Computer Science 2024-11-26 Parshuram N. Aarotale , Ajita Rattani

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

Electromyography (EMG) signals have been successfully employed for driving prosthetic limbs of a single or double degree of freedom. This principle works by using the amplitude of the EMG signals to decide between one or two simpler…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Asad Ullah , Sarwan Ali , Imdadullah Khan , Muhammad Asad Khan , Safiullah Faizullah

Electromyography (EMG) signals are obtained from muscle cell activity. The recording and analysis of EMG signals has several applications. The EMG is of diagnostic importance for treating patients suffering from neurological and…

Systems and Control · Electrical Eng. & Systems 2025-09-18 Vinay C K , Vikas Vazhayil , Madhav rao

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 (sEMG) is becoming exceeding useful in applications involving analysis of human motion such as in human-machine interface, assistive technology, healthcare and prosthetic development. The proposed work presents a…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Karush Suri , Rinki Gupta

Surface electromyography (sEMG) is a technology to assess muscle activation, which is an important component in applications related to diagnosis, treatment, progression assessment, and rehabilitation of specific individuals' conditions.…

Gestures are an integral part of our daily interactions with the environment. Hand gesture recognition (HGR) is the process of interpreting human intent through various input modalities, such as visual data (images and videos) and…

Human-Computer Interaction · Computer Science 2025-12-10 Soroush Baghernezhad , Elaheh Mohammadreza , Vinicius Prado da Fonseca , Ting Zou , Xianta Jiang

Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes. The sEMG-based gesture recognition is extremely sensitive of inter-session and inter-subject variances. We…

Machine Learning · Computer Science 2019-12-02 István Ketykó , Ferenc Kovács , Krisztián Zsolt Varga

The aim of this work was to identify six basic movements of the hand using two systems. Being an interdisciplinary topic, there has been conducted studying in the anatomy of forearm muscles, biosignals, the method of electromyography (EMG)…

Signal Processing · Electrical Eng. & Systems 2019-06-20 Christos Sapsanis

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

Conventional electromyography (EMG) measures the continuous neural activity during muscle contraction, but lacks explicit quantification of the actual contraction. Mechanomyography (MMG) and accelerometers only measure body surface motion,…

Human-Computer Interaction · Computer Science 2022-11-08 Zijing Zhang , Edwin C. Kan

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

Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular potentials generated when the brain instructs the body to perform both fine and coarse locomotion. This technique has seen extensive investigation over the…

Human-Computer Interaction · Computer Science 2021-04-06 Mingde Zheng , Michael S. Crouch , Michael S. Eggleston

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) data has been extensively adopted as an intuitive interface for instructing human-robot collaboration. A major challenge of the real-time detection of human grasp intent is the identification of dynamic EMG from hand…

Robotics · Computer Science 2024-02-29 Mo Han , Mehrshad Zandigohar , Sezen Yagmur Gunay , Gunar Schirner , Deniz Erdogmus

Daily life of thousands of individuals around the globe suffers due to physical or mental disability related to limb movement. The quality of life for such individuals can be made better by use of assistive applications and systems. In such…

Signal Processing · Electrical Eng. & Systems 2022-02-02 Asad Mansoor Khan , Ayesha Sadiq , Sajid Gul Khawaja , Norah Saleh Alghamdi , Muhammad Usman Akram , Ali Saeed
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