Development of six-degree-of-freedom prosthetic hand with integrated voice and electromyography control using machine learning

F Shabbir, M Iqbal, A Asghar, S Khan… - Engineering Applications of …, 2025 - Elsevier
Objective Upper limb amputations impact millions worldwide, limiting daily activities and
reducing independence. Current prosthetic hand control systems face limitations: body …

Human elbow joint torque estimation during dynamic movements with moment arm compensation method

R Hosoda, G Venture - IFAC Proceedings Volumes, 2014 - Elsevier
In this paper we propose a method for human joint torque estimation with surface-
electromyogram (sEMG) during dynamic joint movements. sEMG measurement is non …

New results on classifying EMG signals for interfacing patients and mechanical devices

G Gini, L Cavazzana, F Mutti, P Belluco… - New Trends in Medical …, 2014 - Springer
In modern days the goal of rehabilitative robotics is to take advantage of robotics-inspired
solutions in order to assist people affected by disabilities using physical training assisted by …

Development of myoelectric robotic hand using 3D Printer

S Nilwong, D Hossain, E Petoku… - 2019 1st International …, 2019 - ieeexplore.ieee.org
This paper presents a low-cost myoelectric robotic hand which was developed by a 3D
printer. The purpose of the developed system is to be used as a low-cost prosthesis. It is …

Towards a natural interface for the control of a whole arm prosthesis

G Gini, P Belluco, F Mutti, D Rivela… - New Trends in Medical …, 2016 - Springer
In the present study we illustrate a new concept for a user interface to control whole arm
prosthesis. We extend the myo-electric control, taking into account the intended movement …

[PDF][PDF] Efficient Control System Based on Hand Nerve Signals

AA Abbas, MS Croock - … Journal of Computers, Communications, Control & …, 2019 - iasj.net
Recent advances in the control applications based on hand nerve signals are able to meet
the needs of users who suffer from restrictions in limb movement and also provide high …

[HTML][HTML] Improving Robotic Arm Control via Model Reference Adaptive Controller Using EMG Signals Classification

M Barfi, H Karami, E Farahi, F ّّFaridi… - … -i Muhandisi-i Barq …, 2022 - ijece.saminatech.ir
The purpose of designing and manufacturing prosthetic organs is to create their maximum
behavioral similarity to human organs. The aim of this paper is to improve the robotic arm …

Gestures classification from EMG signals

LSB Giordano, F Moiola - 2018 IEEE Biennial Congress of …, 2018 - ieeexplore.ieee.org
The measurement of electromyographic (EMG) signals generated by the muscles is used to
monitor their activity, allowing the identification of movements that is the objective of this …

Usability of Upper Limb Electromyogram Features as Muscle Fatigue Indicators for Better Adaptation of Human-Robot Interactions

A Thacham Poyil - 2019 - uhra.herts.ac.uk
Human-robot interaction (HRI) is the process of humans and robots working together to
accomplish a goal with the objective of making the interaction beneficial to humans. Closed …

Wavelet analysis of surface EMG signals from three superficial quadriceps muscles under varying levels of contraction intensity and velocity

D Filipovic - 2014 - search.proquest.com
The effects of contraction intensity (100%-, 75%-, 50%-, and 25%-maximum voluntary
contraction [MVO]) and movement velocity (50, 100, 200, and 400/s) on surface …