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

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