This Wearable Supernumerary Robotic Fingers (WSRF) is developed for helping hemiparesis patient to manipulate object using one healthy hand. The proposed of WSRF is controlled using Neural Network Regression. WSRF consist of flex sensor for measuring the bend of the finger, servo motor, and force sensing resistor (FSR) as well as Arduino MEGA. Neural Network is embedded into the Arduino MEGA for controlling the motion and haptic system.
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The research team are:
1. Mochammad Ariyanto
2. Muhammad Mutoha
3. Zainal Arifin