Close
Type at least 1 character to search
Back to top

Myoelectric Prosthetic Hand using sEMG and flex sensors

Year: 2016
Tags: Signal Processing, Machine Learning

 

EMG techniques are popular for prediction of amputated body parts. We used a runtime technique called dynamic time warping for detection of 5 classified hand gestures. Miniaturized sEMG (surface electromyography) electrodes were developed and EMG(electromyography) detection was performed over the forearm. The algorithm was implemented on STM32F4o7 while outputs were observed on a 3D printed DC motor operated robotic hand. The gestures include pointing, grasping and stretching of the fingers. This project was intended to help amputated patients by studying data from healthy people.
Date