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](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