MEMS based Sensor Robot for Immobilized Persons

For directing the robot via motion, a variety of approaches are used. Some of the work suffers from layout coordination, which prevents the mobility inputs from becoming dynamic. To continuously signal the robot, the proposed framework uses a machine interface device. The study provides an example of the efficacy of MEMS -based gesture-controlled Robots that communicate wirelessly and can be controlled with our hands or gestures rather than the standard keypad or buttons. In the upcoming years, it's possible to create bots that can interact with people naturally. As a result, our target uses gesture interfaces based on hand motion. A novel technique-based gesture recognition is created to identify the distinctive action indicators made through hand movement. MEMS sensors are utilized for this task, while ultrasonic sensors are utilized for certain operations. This study has designed a wheelchair prototype that is only gesture- controlled, adaptable to different users, and resistant to vibration, light changes, and user movement. The camera installed on the user's hand and the user's hand angle changes detection are the key to this flexibility. For wheelchair control, a gesture control sensor examines the user's hand position. Results of our gesture detection technology, in comparison to others, demonstrated its superiority. Additionally, the impact of changing the illumination has been assessed.