Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors (Q6696453)

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](https://github.com/robotology/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