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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…

机器学习 · 计算机科学 2015-11-20 Mara Graziani

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…

机器学习 · 计算机科学 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…

机器人学 · 计算机科学 2024-11-26 Mosab Diab , Ashraf Mohammed , Yinlai Jiang

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.…

信号处理 · 电气工程与系统科学 2021-07-05 Reza Bagherian Azhiri , Mohammad Esmaeili , Mehrdad Nourani

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…

其他定量生物学 · 定量生物学 2015-11-25 Marco Lampacrescia

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…

计算机视觉与模式识别 · 计算机科学 2021-01-19 Niloy Sikder , Abu Shamim Mohammad Arif , Abdullah-Al Nahid

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…

Partial hand amputations significantly affect the physical and psychosocial well-being of individuals, yet intuitive control of externally powered prostheses remains an open challenge. To address this gap, we developed a force-controlled…

机器人学 · 计算机科学 2025-05-06 Robin Arbaud , Elisa Motta , Marco Domenico Avaro , Stefano Picinich , Marta Lorenzini , Arash Ajoudani

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,…

机器人学 · 计算机科学 2025-11-21 Gang Liu , Ye Sun , Zhenxiang Wang , Chuanmei Xi , Ziyang He , Shanshan Guo , Rui Zhang , Dezhong Yao

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.…

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…

人机交互 · 计算机科学 2021-04-06 Mingde Zheng , Michael S. Crouch , Michael S. Eggleston

Surface electromyography (sEMG) is a popular bio-signal used for controlling prostheses and finger gesture recognition mechanisms. Myoelectric prostheses are costly, and most commercially available sEMG acquisition systems are not suitable…

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…

信号处理 · 电气工程与系统科学 2019-05-10 Sumit Raurale , John McAllister , Jesus Martinez del Rincon

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…

信号处理 · 电气工程与系统科学 2020-01-15 Mohsen Jafarzadeh , Daniel Curtiss Hussey , Yonas Tadesse

Myoelectric control is one of the leading areas of research in the field of robotic prosthetics. We present our research in surface electromyography (sEMG) signal classification, where our simple and novel attention-based approach now leads…

机器学习 · 计算机科学 2020-11-19 David Josephs , Carson Drake , Andrew Heroy , John Santerre

Surface Electromyography (sEMG) is a technology to measure the bio-potentials across the muscles. The true prospective of this technology is yet to be explored. In this paper, a simple and economic construction of a sEMG sensor is proposed.…

医学物理 · 物理学 2015-10-15 Abhishek Jha , Mrinal Sen

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…

机器人学 · 计算机科学 2018-02-02 Cassie Meeker , Sangwoo Park , Lauri Bishop , Joel Stein , Matei Ciocarlie

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…

计算机视觉与模式识别 · 计算机科学 2025-04-07 Abu Saleh Musa Miah , Najmul Hassan , Md. Maniruzzaman , Nobuyoshi Asai , Jungpil Shin

Surface electromyography (sEMG) signals show promise for effective human-machine interfaces, particularly in rehabilitation and prosthetics. However, challenges remain in developing systems that respond quickly to user intent, produce…

机器人学 · 计算机科学 2025-11-25 Runsheng Wang , Xinyue Zhu , Ava Chen , Jingxi Xu , Lauren Winterbottom , Dawn M. Nilsen , Joel Stein , Matei Ciocarlie

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,…

机器学习 · 计算机科学 2024-11-26 Parshuram N. Aarotale , Ajita Rattani
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