AIZAD ZULFIKAR BIN MUHAMAD ZUBIR POLITEKNIK SHAH ALAM
This glove is equipped with valves and sensors connected to a microcontroller, enabling training control through IoT connectivity. This project focuses on the development of an Internet of Things (IoT)-based therapy glove designed for sensory stimulation, particularly in rehabilitation applications. The main goal of this project is to stimulate the user's hand senses through precisely controlled rehabilitation exercises, thereby aiding recovery for patients with neurological disorders or muscle injuries. IoT technology is used to collect real-time data and control the intensity and pattern of exercises based on therapeutic needs or received input. The project also evaluates the effectiveness of the glove through testing involving patients in rehabilitation sessions. Preliminary results suggest that the IoT-based therapy glove has the potential to improve motor recovery and provide the necessary sensory feedback. This project contributes significantly to the application of IoT technology in the medical field, especially in facilitating more interactive and responsive physical therapy sessions. With this innovation, training each finger individually or randomly can help reduce conditions such as trigger finger, and it is highly beneficial for doctors in treating patients.