Data for Automated Gait Cycle Detection for Exoskeleton-Assisted Walking Using an LSTM with Ground Reaction Force and Heel Marker Data

Data and code for the journal paper Automated Gait Cycle Detection for Exoskeleton-Assisted Walking Using an LSTM with Ground Reaction Force and Heel Marker Data. The data includes the ground reaction forces, heel marker height, and gait events for 14 subjects walking with a bilateral pair of exoskeletons. The code to generate and evaluate the LSTM model to detect gait events is included. In addition, the final LSTM model to identify gait events is included.