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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…

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

Brain Computer Interfaces (BCI) provide the opportunity to control external devices using the brain ElectroEncephaloGram (EEG) signals. In this paper we propose two software framework in order to control a 5 degree of freedom robotic and…

人机交互 · 计算机科学 2016-03-10 Daniel Elstob , Emanuele Lindo Secco

Multiarticulate bionic arms are now capable of mimicking the endogenous movements of the human hand. 3D-printing has reduced the cost of prosthetic hands themselves, but there is currently no low-cost alternative to dexterous…

机器人学 · 计算机科学 2020-01-27 Jacob A. George , Sridharan Radhakrishnan , Mark R. Brinton , Gregory A. Clark

Currently, individuals with arm mobility impairments (referred to as "patients") face limited technological solutions due to two key challenges: (1) non-invasive prosthetic devices are often prohibitively expensive and costly to maintain,…

人工智能 · 计算机科学 2025-01-28 Maha Nawaz , Abdul Basit , Muhammad Shafique

Efficient control of prosthetic limbs via non-invasive brain-computer interfaces (BCIs) requires advanced EEG processing, including pre-filtering, feature extraction, and action prediction, performed in real time on edge AI hardware.…

人机交互 · 计算机科学 2025-09-22 Abdul Basit , Maha Nawaz , Saim Rehman , Muhammad Shafique

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…

人机交互 · 计算机科学 2025-11-21 Abdul Basit , Maha Nawaz , Muhammad Shafique

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…

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

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

Building robotic prostheses requires a sensor-based interface designed to provide the robotic hand with the control required to perform hand gestures. Traditional Electromyography (EMG) based prosthetics and emerging alternatives often face…

机器人学 · 计算机科学 2025-07-15 Dean Zadok , Oren Salzman , Alon Wolf , Alex M. Bronstein

Sonomyography (SMG) is a novel human-machine interface that controls upper-limb prostheses by monitoring forearm muscle activity using ultrasonic imaging. SMG has been investigated for controlling upper-limb prostheses during the last two…

系统与控制 · 电气工程与系统科学 2024-07-30 Vaheh Nazari , Yong-Ping Zheng

Decoding multiple movements from the same limb using electroencephalographic (EEG) activity is a key challenge with applications for controlling prostheses in upper-limb amputees. This study investigates the classification of four hand…

信号处理 · 电气工程与系统科学 2024-09-12 Corentin Piozin , Lisa Bouarroudj , Jean-Yves Audran , Brice Lavrard , Catherine Simon , Florian Waszak , Selim Eskiizmirliler

This paper presents a novel neuromorphic control architecture for upper-limb prostheses that combines surface electromyography (sEMG) with gaze-guided computer vision. The system uses a spiking neural network deployed on the neuromorphic…

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…

人机交互 · 计算机科学 2024-10-28 Sidharth Pancholi , Amit M. Joshi Deepak Joshi , Bradly S. Duerstock

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,…

机器人学 · 计算机科学 2025-06-11 Kaijie Shi , Wanglong Lu , Hanli Zhao , Vinicius Prado da Fonseca , Ting Zou , Xianta Jiang

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

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…

Although myoelectric prosthetic hands provide amputees with intuitive control, their reliance on many EMG sensors limits accessibility and makes them complex and expensive. To address this problem, this work presents a different perspective…

生物物理 · 物理学 2025-04-22 Mustafa Can Kadilar , Ersin Toptaş , Gazi Akgün

Many amputees throughout the world are left with limited options to personally own a prosthetic arm due to the expensive cost, mechanical system complexity, and lack of availability. The three main control methods of prosthetic hands are:…

人工智能 · 计算机科学 2021-03-04 Alishba Imran , William Escobar , Freidoon Barez

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
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