Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors

This dataset contains data accompanying the work: @INPROCEEDINGS{10000122, author={Darvish, Kourosh and Ivaldi, Serena and Pucci, Daniele}, booktitle={2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)}, title={Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors}, year={2022}, volume={}, number={}, pages={488-495}, doi={10.1109/Humanoids53995.2022.10000122}} The data folder is organized in directories, whose content can be outlined as follows: - models: GMoE and LSTM models: similar to the models used in the paper results section. - annotated-data: containing labeled data formatted column-wise. The first row defines the name of each column. The data are annotated. The data has a similar sampling rate to the raw-data folder. - raw-data: containing data formatted column-wise. The first row defines the name of each column. The data is not annotated. The data is re-sampled from Wearables data. - wearable-data: containing wearables logged data used for the paper analysis; data are collected using XSens suit and iFeel F/T shoes. A more detailed description of the data and the code associated with this dataset is available at: https://github.com/ami-iit/paper_darvish_2022_humanoids_action-kindyn-predicition