ICPR20:From Human Pose to On Body Devices for Human Activity Recognition

Implementation code for "From Human Pose to On Body Devices for Human Activity Recognition.

Updating in progress..

Dataset

LARa dataset can be downloaded in https://zenodo.org/record/3862782#.XtVJOy9h3UI

Usage

Preprocessing of:

• LARa Mocap
• LARa IMUs (called mbientlab)
• LARa virtual IMUs

Following the create_dataset() method in *preprocessing.py files

Dataloader using a simple CSV file:

Please check, HARWindows.py

Experiments

Training/Testing, please address to the main.py script. Experiments can set set according to a given dataset, network and output

Contact

• Fernando Moya Rueda [email protected]

Technische University of Dortmund Department of Computer Science Dortmund, Germany

The work on this publication was supported by Deutsche Forschungsgemeinschaft (DFG) in the context of the project Fi799/10-2, HO2403/14-2 ''Transfer Learning for Human Activity Recognition in Logistics''.