8 citations · 11 across the 5 of their papers we have counts for
5 papers
Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks
Chien-Pin Liu, Ju-Hsuan Li, En-Ping Chu +4
Falls are the public health issue for the elderly all over the world since the fall-induced injuries are associated with a large amount of healthcare cost. Falls can cause serious…
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…
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-…
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…