This research started by plotting the signals received from 8 sensors for each foot, 16 channels in sum.

Next, we are going to start our experiment by analyzing the data to recognize motions

this is our insole, the data sent by USB port and plotted in the application prepared.

The Inspiration for this idea was some articles using CNN I found several months ago, studying to improve the AI-based performance of the exoskeleton robot. Then I found them interesting, and after some months I suggest a similar idea brought in the articles. these are articles I had read:

Real-time human activity using CNN,

Antonio Bevilacqua, Aamina Rangarej, Brian Caulfield, Tahar Kechadi

Novel Soft Smart Shoes for Motion Intent Learning of Lower Limbs using LSTM with a Convolutional Autoencoder

Jiantao Yang, Yuehong Yin

Real-Time Voluntary Motion Prediction and Parkinson’s Tremor Reduction Using Deep Neural Networks

Anas Ibrahim, Yue Zhou, Mary E Jenkins, Ana Luisa Trejos, Michael D Naish

see my github to see all paper briefs...

hope of finishing this project soon...!

Thank you sincerely for being with me