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@article{176595,
author = {Yash Vardhan Singh and Vikrant Chauhan and Shubham Singh},
title = {Design and development of Robotic Arm using Emg Sensor},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {11},
pages = {8118-8124},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=176595},
abstract = {Designing and implementing a robotic hand
utilizing electromyography (EMG) is associated with
developing a prosthetic device which can be controlled
via muscle electrical signals. The aim of this project is
to obtain EMG signals from residual limbs using
surface electrodes placed on functional muscle groups.
Such signals undergo amplification, filtration, and
further processing to yield distinct features indicative
of muscle activity. A control algorithm is designed to
interpret these features and subsequently translate
them into commands meant for the robotic hand.
Machine learning and pattern recognition approaches
are used to associate defined sets of EMG signals
to predetermined movements of the hand. The fingers,
joints,
and tendons of the robotic hand are
constructed in such a way that allows for dexterous
motion and gripping capability which enable it to
mimic the structure and functionality of a human
hand. Usually, the prototype is made through 3D
printing as it is the most cost-effective method. Users
EMG signals calibration is performed to ensure
optimum mapping with the specific movements of the
hand they wishes to control. Contiguous testing of the
system is done to improve precision, responsiveness,
comfort, and general user experience. This technology
is
incredibly useful in regions where economic
resources limit access to commercial prosthetics. For
instance, Ecuador is one of those countries where a
considerable part of the population suffers from
amputation of limbs. They truly lack the financial
resources to afford even prosthetic limbs that are sold
on the market. This project aims to aid these people
with upper limb loss by restoring their mobility and
independence through low-cost hardware, 3D printing,
EMG technology, and affordable, ultrasound-based
control devices.},
keywords = {EMG, prosthetics, robotic hand, Arduino, pat- tern recognition, motor control.},
month = {May},
}
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