Authors:
Hui Liu
;
Tingting Xue
and
Tanja Schultz
Affiliation:
Cognitive Systems Lab, University of Bremen, Germany
Keyword(s):
Human Activity Recognition, Real-Time Systems, Wearables, Biodevices, Biosignals, Digital Signal Processing, Biosignal Processing, Machine Learning, Performance Analysis, Plug-and-Play.
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.