56 citations · 76 across the 9 of their papers we have counts for
6 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…
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder
Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh +3
Frozen shoulder (FS) is a shoulder condition that leads to pain and loss of shoulder range of motion. FS patients have difficulties in independently performing daily activities. In…
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-…
SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification
Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng +6
A combination of cloud-based deep learning (DL) algorithms with portable/wearable (P/W) devices has been developed as a smart heath care system to support automatic cardiac arrhyth…
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…