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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

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

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…

机器学习 · 计算机科学 2015-11-25 Francesca Giordaniello

A central challenge in building robotic prostheses is the creation of a sensor-based system able to read physiological signals from the lower limb and instruct a robotic hand to perform various tasks. Existing systems typically perform…

机器人学 · 计算机科学 2022-09-29 Dean Zadok , Oren Salzman , Alon Wolf , Alex M. Bronstein

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

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

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…

Accurate human pose estimation is essential for effective Human-Robot Interaction (HRI). By observing a user's arm movements, robots can respond appropriately, whether it's providing assistance or avoiding collisions. While visual…

机器人学 · 计算机科学 2025-02-11 Rotem Atari , Eran Bamani , Avishai Sintov

Upper-limb amputees face tremendous difficulty in operating dexterous powered prostheses. Previous work has shown that aspects of prosthetic hand, wrist, or elbow control can be improved through "intelligent" control, by combining…

机器人学 · 计算机科学 2025-05-13 Shivani Guptasarma , Monroe D. Kennedy

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

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…

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

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

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

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

This paper presents a sensorized vision-enabled prosthetic hand aimed at replicating a natural hand's performance, functionality, appearance, and comfort. The design goal was to create an accessible substitution with a user-friendly…

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

We propose, implement and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together…

信号处理 · 电气工程与系统科学 2019-10-29 Elif Hocaoglu , Volkan Patoglu

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such…

机器人学 · 计算机科学 2019-01-14 Sangwoo Park , Cassie Meeker , Lynne M. Weber , Lauri Bishop , Joel Stein , Matei Ciocarlie

Any part of the human body replication procedure commences the prosthetic control science. This paper highlights the hardware design technique of a prosthetic arm with implementation of gear motor control aspect. The prosthetic control arm…

机器人学 · 计算机科学 2011-11-10 Biswarup Neogi , Soumyajit Mukherjee , Soumya Ghosal , Achintya Das , D. N. Tibarewala
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