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@article{194895,
        author = {SNEHAL SUDHIR DESHMUKH and DR. S.A.AWACHAR},
        title = {BeBionic Hand: An IoT-Based Smart Myoelectric Prosthetic},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5717-5719},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194895},
        abstract = {The advancement of Internet of Things (IoT) and biomedical engineering has significantly transformed prosthetic technology. The BeBionic Hand is a smart myoelectric prosthesis designed to closely replicate natural hand movements and restore independence for individuals with upper-limb disabilities. Unlike traditional prosthetic devices, the BeBionic Hand utilizes surface electromyography (EMG) sensors that detect electrical signals from the residual muscles of the arm. These signals are processed by an onboard microprocessor, which controls the precise movement of the artificial fingers.
The prosthetic offers multiple grip patterns, enabling users to perform essential daily tasks such as holding objects, typing, or carrying items with ease. Its integration with IoT technology enhances functionality by allowing wireless connectivity through a smartphone application. This application provides users with the ability to customize grip settings, monitor device performance, and switch between operation modes.
By integrating biosignal detection, advanced microprocessor control, and IoT-enabled features, the BeBionic Hand represents a significant advancement in rehabilitation technology, improving the quality of life for individuals with disabilities.},
        keywords = {Myoelectric Prosthesis, BeBionic Hand, Internet of Things (IoT), EMG Sensors, Smart Prosthetics, Biomedical Engineering, Assistive Technology},
        month = {March},
        }