4 citations · 6 across the 8 of their papers we have counts for
4 papers · 1 filter
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation
Tin-Han Chi, Kai-Chun Liu, Chia-Yeh Hsieh +2
Fall accidents are critical issues in an aging and aged society. Recently, many researchers developed pre-impact fall detection systems using deep learning to support wearable-base…
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks
Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng +1
Electrocardiogram (ECG) artifact contamination often occurs in surface electromyography (sEMG) applications when the measured muscles are in proximity to the heart. Previous studie…
Domain-adaptive Fall Detection Using Deep Adversarial Training
Kai-Chun Liu, Michael Can, Heng-Cheng Kuo +4
Fall detection (FD) systems are important assistive technologies for healthcare that can detect emergency fall events and alert caregivers. However, it is not easy to obtain large-…
Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems
Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh +3
In the last two decades, fall detection (FD) systems have been developed as a popular assistive technology. Such systems automatically detect critical fall events and immediately a…