Control of Robotic Wheel Chair using EMG Signals for Paralysed Persons

Aim: In recent years, physically challenged people faces more constraint in day to-day movements. In this work, an EMG based hands-free control system for a wheelchair is proposed. Methods: Trapezium EMG signals are acquired, analyzed and then processed into a controlled movements (forward, left, right, etc.) using an embedded circuits for the wheelchair. Results: The system allows the patient to choose a smooth independent movement in the control state or non-control state. The movements depend upon the strength of the EMG signals acquired. Conclusion: The entire system consists of EMG electrodes, a microcontroller and a DC motor for the operation of the wheelchair. The control system is incorporated with muscle processing circuits which give an independent and safe movement to the paraplegic patients.