Designing a Smart Hand Gesture Robotic Car Receiver for Achieving Transformative Transportation

Abstract

This paper explains the design and performance of a hand gesture robotic car receiver aiming to provide an easy-to-use solution for mobility so that paraplegics can have some aid in their daily routines. Through the integration of gesture recognition and robotics technology, this system is designed to enable users to independently move through their environment with natural hand gestures. A MPU6050 added to the transmitter of the car makes it easy to control and communicate with the car using real-time hand gestures. The microcontroller processes these gestures and converts it to angles that control the movement of the car. In all, the system translates five crucial hand gestures into correlating vehicle movements such as forward movement, reverse direction, turning left, turning right and stopping. The classified commands are sent to the microcontroller which controls motors and moves respective parts as requested. The receiver uses NRF24L01 radio module to wirelessly communicate with the transmitter. Arduino IDE is the key software stack used to operate the system configuration and integration. The average response time for five different observations of the forward, backward, right, left and break movement of the robotic car was recorded as: 106.4ms, 106.2ms, 99.2ms, 97.4ms and 102.2ms. The experimental results show that the robotic system is able to detect and control a car with accurate gesture recognition in real time, with a total average response time of 102.28 ms, resulting to 95% accuracy.