Estimation of Applied Forces by Hand using EMG Sensor

We worked on the Estimation of Applied Forces by Hand using EMG Sensor project from October 2019 to September 2020. This project focused on accurately estimating grip forces through innovative sensor technologies.

Key Contributions:

  • We employed recurrent neural networks (GRU, LSTM) to estimate forces effectively based on the data collected.
  • The system utilized EMG data to provide a comprehensive analysis of grip strength.

You can find out about the results in the paper titled Estimation and Early Prediction of Grip Force Based on sEMG Signals and Deep Recurrent Neural Networks.