Publications by authors named "Guozhao Liao"
Sensors (Basel)
October 2020
Article Synopsis
- The paper develops an activity recognition algorithm to help parents monitor their children at home by analyzing electroencephalograms (EEGs) using a new method that mitigates nonlinear phase distortions caused by traditional filters.
- Instead of using just energy and entropy as features, the study extracts 11 different physical quantities from intrinsic mode functions for better analysis of the EEG data.
- The proposed multi-modal system, which integrates electroencephalograms with image sequences and motion signals, demonstrates higher accuracy in activity recognition compared to methods using fewer or single types of signals.
