@inproceedings{liu2023realtime_har,
  title = {On a Real Real-Time Wearable Human Activity Recognition System},
  author = {Liu, Hui and Xue, Tingting and Schultz, Tanja},
  booktitle = {Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023)},
  pages = {711--720},
  organization = {INSTICC},
  publisher = {SCITEPRESS - Science and Technology Publications},
  year = {2023},
  isbn = {978-989-758-631-6},
  issn = {2184-4305},
  doi = {10.5220/0011927700003414},
  url = {https://www.csl.uni-bremen.de/cms/images/documents/publications/LiuXueSchultz_WHC2023.pdf},
  abstract = {Many human activity recognition (HAR) systems have the ultimate application scenarios in real-time, while most literature has limited the HAR study to offline models. Some mentioned real-time or online applications, but the investigation of implementing and evaluating a real-time HAR system was missing. With our years of experience developing and demonstrating real-time HAR systems, we brief the implementation of offline HAR models, including hardware specifications, software engineering, data collection, biosignal processing, feature study, and human activity modeling, and then focus on the transition from offline to real-time models for details of window length, overlap ratio, sensor/device selection, feature selection, graphical user interface (GUI), and on-the-air functionality. We also indicate the evaluation of a real-time HAR system and put forward tips to improve the performance of wearable-based HAR.}
}