Simulated prosthetic hand actuated by Electromyography
Posted: 09 May 2015, 06:29
The muscular activity in the arm is detected through electrodes using Electromyography. A machine learning algorithm is classifying (for the moment) 6 states triggering 5 actions for the prosthetic
The controller was developed with a Tiva C Launchap ARM Cortex-M4F on Keil uVision MDK based on DSP and Machine Learning techniques.
https://youtu.be/q5snFAOdzsI
- _ open Palm Grip
_ active Index Grip
_ power Grip
_ mouse Grip
_ trigger
The controller was developed with a Tiva C Launchap ARM Cortex-M4F on Keil uVision MDK based on DSP and Machine Learning techniques.
https://youtu.be/q5snFAOdzsI