MM-Fit Dataset - physical exercise workout sessions (video)

This repository contains the video recording of 20 physical exercise workout sessions, which is part of the MM-Fit Dataset. Further details about our dataset and other time synchronised sensor data modalities (accelerometer, gyroscope, heart rate) collected with wearable devices during these workout sessions can be found on the project page: https://mmfit.github.io/ If you find our dataset useful and use it in your work please cite our paper: David Strömbäck, Sangxia Huang, Valentin Radu, MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging Across Sensing Devices, ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT): Volume 4 Issue 4, December 2020. @article{stromback2020mm,
title={Mm-fit: Multimodal deep learning for automatic exercise logging across sensing devices},
author={Str{\"o}mb{\"a}ck, David and Huang, Sangxia and Radu, Valentin},
journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
volume={4},
number={4},
pages={1--22},
year={2020},
publisher={ACM New York, NY, USA}
}

David Strömbäck, Sangxia Huang, & Valentin Radu. (2023). MM-Fit Dataset - physical exercise workout sessions (video) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7672767