Key points are not available for this paper at this time.
Physically challenged people have discomfort in mobility due to several illness and issues. Improvisation in the lifestyle and quality of life for such individuals is the need of the society. The proposed study focuses on the mobility aid for the physically challenged individual by integrating an accelerometer sensor and an Arduino based controller allowing for the translation of natural hand gestures into precise motor commands in order to overrule the limitations of the traditional interfacing techniques fostering independence and social inclusivity for the estimated 75 million wheelchair users globally. The accelerometer sensor plays a pivotal role in tracking and interpreting the user's hand movements, creating a seamless interaction between human gestures and the motorized propulsion system of the wheelchair. The Arduino controller serves as the bridge, processing these gestures and orchestrating the corresponding movements, namely forward, backward, right, left and stop condition. A notable feature enhancing the wheelchair's usability is the incorporation of an infrared (IR)--based remote control system. This introduces a layer of home automation, enabling interaction with the surrounding environment using the same intuitive remote-control device. The gesture-controlled wheelchair seeks to empower users, providing not just a means of mobility but a tool for enhancing independence and confidence. Rigorous testing and evaluation protocols are integral to the development process, ensuring the accuracy of gesture recognition, responsiveness of motor control, and overall user experience.
Abimaanyu et al. (Thu,) studied this question.