This code was/is being developed for a 3D printed hand. It's a great interest of mine and the project laid latent for for too long. Starting at BoilerMake 2014 a team of colleague and I got together and made the hand and began constructing code to control it, thus the creation of Grasp. It's still in a very early form and thus the functionality is limited. However, it processes EMG data taken from the forearm and analyzes it into a control method for a 3D printed hand. The current implementation opens and closes the hand post calibration. It is prone to diminished accuracy with respect to time due to it not currently accounting for the fact that EMGs are non-stationary biomedical signals. Future implementations will include expanded use (i.e. various gestures, individual finger movement), a quick calibration alogorithm, and a mode switching algorithm to account for the non-stationary aspects of the signal for control.

Built With

Share this project:

Updates