BarLab

Our lab member Syed Farazuddin Hussaini is graduated. Congragulations.

Master Thesis March 15, 2019

The main contribution of this work is to exhibit an improved developed and evaluation of architectures with higher accuracy for prosthetic hand by deep learning with IMU using 9 degrees of freedom. Deep Learning has been gaining popularity due to its numerous implementations. Prosthetics is within in the count. Previously conducted research on prosthetic arm that utilizes deep learning with inertial measurement unit (IMU) produced promising results with only using single aspect of the device. This research expanded on that by utilizing accelerometer, gyroscope, and magnetometer. Various models were developed and tested, the results from the best are presented. This research study was successfully in improving on the previous work by achieving 99% accuracy.