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@article{178258,
        author = {Darshan Duble and Pavan Kadwadkar and Russell Mascarenhas and Sripriya H R and Nikhil A. Kulkarni},
        title = {Emg Driven Prosthetic Hand},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6716-6720},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178258},
        abstract = {In this paper, a prosthetic arm controlled by Electromyographic (EMG) signals, developed with Arduino Nano microcontroller technology, is introduced. The goal is to create an affordable, easy-to-use prosthetic solution to help individuals with upper limb amputations regain their autonomy and undertake daily activities. The system employs EMG sensors to pick up on electrical signals created by remaining muscle activity, which are then processed to drive servo motors and reproduce natural arm motions. The prosthetic is engineered for comfort as well as performance, allowing for intuitive and sensitive control through limited user training. The project keeps the requirement for sophisticated control systems to a minimum by using simple signal processing and calibration techniques. The whole arrangement is designed to close the gap between functionality and affordability, with subsequent advancements leading to customizable, 3D-printed products and integration into rehabilitation, industrial, and defense industries to improve the quality of life for the users.},
        keywords = {EMG Sensor, Arduino Nano, Prosthetic Arm, Servo Motor, Myoelectric Control, Muscle Signals.},
        month = {May},
        }