MEMS-based gesture controlled robot
Dhiraj K. Thote, Nandini Farkade, Vedant Khorgade, Mehul Mahakalkar, Shubhangi Tayade · 2024
In addition to presenting a concept for a gesture controlled user interface (GCUI), this article also analyses usability, technological, and application trends. We provide an integrated method for real-time tracking, and gesture-based data gauntlet technology that uses hand movements to control the wheelchair. In the paper, a microcontroller-based 3-axis wireless accelerometer system for low-cost and tiny wheelchair control was developed. A gesture identification module with micro-electromechanical systems (MEMS) sensor and wheelchair control makes up the system’s two primary parts. The system’s brain is microcontroller, found in the gesture recognition module. The hand-attached MEMS sensor is a 3-axis accelerometer with digital output (I2C) that detects the angle of the hand; in other words, it provides voltages to the microcontroller in accordance with the tilt of the hand. “PIC18F25K22” controller is used to operate the wheelchair control unit. Stop, backward, forward, left, and right are the four suggested motions that are successful. The outcomes of a few tests conducted using the controlled system are then presented and discussed. The system can acknowledge the input motions fast and with a valid recognition rate, according to experimental data.