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Kai-Chun Liu
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2020 – today
- 2024
- [c15]Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising. ICASSP 2024: 1736-1740 - [i11]Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising. CoRR abs/2402.03808 (2024) - [i10]Cho-Yuan Lee, Kuan-Chen Wang, Kai-Chun Liu, Xugang Lu, Ping-Cheng Yeh, Yu Tsao:
A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals. CoRR abs/2402.05482 (2024) - [i9]Whenty Ariyanti, Kai-Chun Liu, Kuan-Yu Chen, Yu Tsao:
Abnormal Respiratory Sound Identification Using Audio-Spectrogram Vision Transformer. CoRR abs/2405.08342 (2024) - [i8]Kuo-Hsuan Hung, Kuan-Chen Wang, Kai-Chun Liu, Wei-Lun Chen, Xugang Lu, Yu Tsao, Chii-Wann Lin:
MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal. CoRR abs/2409.18828 (2024) - 2023
- [j12]Tsai-Min Chen, Yuan-Hong Tsai, Huan-Hsin Tseng, Kai-Chun Liu, Jhih-Yu Chen, Chih-Han Huang, Guo-Yuan Li, Chun-Yen Shen, Yu Tsao:
SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification. IEEE Trans. Consumer Electron. 69(3): 250-260 (2023) - [c14]Whenty Ariyanti, Kai-Chun Liu, Kuan-Yu Chen, Yu Tsao:
Abnormal Respiratory Sound Identification Using Audio-Spectrogram Vision Transformer. EMBC 2023: 1-4 - [c13]En-Ping Chu, Kai-Chun Liu, Chia-Yeh Hsieh, Chih-Ya Chang, Yu Tsao, Chia-Tai Chan:
Multi-Task Learning U-Net for Functional Shoulder Sub-Task Segmentation. EMBC 2023: 1-5 - [c12]Tin-Han Chi, Kai-Chun Liu, Chia-Yeh Hsieh, Yu Tsao, Chia-Tai Chan:
Prefallkd: Pre-Impact Fall Detection Via CNN-ViT Knowledge Distillation. ICASSP 2023: 1-5 - [c11]Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks. ICASSP 2023: 1-5 - [c10]Chien-Pin Liu, Ju-Hsuan Li, En-Ping Chu, Chia-Yeh Hsieh, Kai-Chun Liu, Chia-Tai Chan, Yu Tsao:
Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks. MeMeA 2023: 1-5 - [c9]Chien-Pin Liu, Chih-Chun Lai, Kai-Chun Liu, Chia-Yeh Hsieh, Chia-Tai Chan:
Wearable-based Frozen Shoulder Rehabilitation Exercise Recognition using Machine Learning Approaches. MeMeA 2023: 1-5 - [c8]Chih-Hsing Chen, Kai-Chun Liu, Ting-Yang Lu, Chih-Ya Chang, Chia-Tai Chan, Yu Tsao:
Wearable-based Pain Assessment in Patients with Adhesive Capsulitis Using Machine Learning. NER 2023: 1-4 - [i7]Tin-Han Chi, Kai-Chun Liu, Chia-Yeh Hsieh, Yu Tsao, Chia-Tai Chan:
PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation. CoRR abs/2303.03634 (2023) - [i6]Chien-Pin Liu, Ju-Hsuan Li, En-Ping Chu, Chia-Yeh Hsieh, Kai-Chun Liu, Chia-Tai Chan, Yu Tsao:
Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks. CoRR abs/2304.06335 (2023) - 2022
- [j11]Yu-Wen Chen, Kuo-Hsuan Hung, You-Jin Li, Alexander Chao-Fu Kang, Ya-Hsin Lai, Kai-Chun Liu, Szu-Wei Fu, Syu-Siang Wang, Yu Tsao:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. IEEE Access 10: 46082-46099 (2022) - [j10]Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Deep-Learning-Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems. IEEE Trans. Cogn. Dev. Syst. 14(3): 1270-1281 (2022) - [c7]Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao:
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement. ICASSP 2022: 1116-1120 - [i5]Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Yu Tsao:
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement. CoRR abs/2202.06507 (2022) - [i4]Kuan-Chen Wang, Kai-Chun Liu, Sheng-Yu Peng, Yu Tsao:
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks. CoRR abs/2210.13271 (2022) - 2021
- [j9]Chih-Ya Chang, Chia-Yeh Hsieh, Hsiang-Yun Huang, Yung-Tsan Wu, Liang-Cheng Chen, Chia-Tai Chan, Kai-Chun Liu:
Automatic Functional Shoulder Task Identification and Sub-Task Segmentation Using Wearable Inertial Measurement Units for Frozen Shoulder Assessment. Sensors 21(1): 106 (2021) - [j8]Chia-Yeh Hsieh, Hsiang-Yun Huang, Kai-Chun Liu, Chien-Pin Liu, Chia-Tai Chan, Steen Jun-Ping Hsu:
Multiphase Identification Algorithm for Fall Recording Systems Using a Single Wearable Inertial Sensor. Sensors 21(9): 3302 (2021) - [c6]Yu-Chieh Lin, Chia-Tai Chan, Kuan-Chung Ting, Kai-Chun Liu, Chia-Yeh Hsieh:
Instrumented Romberg Test of Postural Stability in Patients with Vestibular Disorders using Inertial Measurement Units. APSIPA ASC 2021: 1258-1261 - [c5]Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh, Chih-Ya Chang, Yu Tsao, Chia-Tai Chan:
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder. BHI 2021: 1-4 - 2020
- [j7]Chia-Yeh Hsieh, Hsiang-Yun Huang, Kai-Chun Liu, Kun-Hui Chen, Steen Jun-Ping Hsu, Chia-Tai Chan:
Subtask Segmentation of Timed Up and Go Test for Mobility Assessment of Perioperative Total Knee Arthroplasty. Sensors 20(21): 6302 (2020) - [j6]Hsiang-Yun Huang, Chia-Yeh Hsieh, Kai-Chun Liu, Steen Jun-Ping Hsu, Chia-Tai Chan:
Fluid Intake Monitoring System Using a Wearable Inertial Sensor for Fluid Intake Management. Sensors 20(22): 6682 (2020) - [i3]Alexander Chao-Fu Kang, Kuo-Hsuan Hung, Yu-Wen Chen, You-Jin Li, Ya-Hsin Lai, Kai-Chun Liu, Sze-Wei Fu, Syu-Siang Wang, Yu Tsao:
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application. CoRR abs/2008.09264 (2020) - [i2]Kai-Chun Liu, Kuo-Hsuan Hung, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems. CoRR abs/2012.03426 (2020) - [i1]Kai-Chun Liu, Michael Chan, Chia-Yeh Hsieh, Hsiang-Yun Huang, Chia-Tai Chan, Yu Tsao:
Domain-adaptive Fall Detection Using Deep Adversarial Training. CoRR abs/2012.10911 (2020)
2010 – 2019
- 2019
- [j5]Hsiang-Yun Huang, Chia-Yeh Hsieh, Kai-Chun Liu, Hui-Chun Cheng, Steen Jun-Ping Hsu, Chia-Tai Chan:
Multi-Sensor Fusion Approach for Improving Map-Based Indoor Pedestrian Localization. Sensors 19(17): 3786 (2019) - [c4]Chia-Yeh Hsieh, Hsiang-Yun Huang, Kai-Chun Liu, Kun-Hui Chen, Steen Jun-Ping Hsu, Chia-Tai Chan:
Automatic Subtask Segmentation Approach of the Timed Up and Go Test for Mobility Assessment System Using Wearable Sensors. BHI 2019: 1-4 - 2017
- [j4]Kai-Chun Liu, Chia-Tai Chan:
Significant Change Spotting for Periodic Human Motion Segmentation of Cleaning Tasks Using Wearable Sensors. Sensors 17(1): 187 (2017) - [j3]Chia-Yeh Hsieh, Kai-Chun Liu, Chih-Ning Huang, Woei-Chyn Chu, Chia-Tai Chan:
Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model. Sensors 17(2): 307 (2017) - [j2]Chih-Yen Chiang, Kun-Hui Chen, Kai-Chun Liu, Steen Jun-Ping Hsu, Chia-Tai Chan:
Data Collection and Analysis Using Wearable Sensors for Monitoring Knee Range of Motion after Total Knee Arthroplasty. Sensors 17(2): 418 (2017) - [c3]Kai-Chun Liu, Chien-Yi Yen, Li-Han Chang, Chia-Yeh Hsieh, Chia-Tai Chan:
Wearable sensor-based activity recognition for housekeeping task. BSN 2017: 67-70 - 2016
- [c2]Hsieh-Ping Chen, Hsieh-Chung Chen, Kai-Chun Liu, Chia-Tai Chan:
Online segmentation with multi-layer SVM for knee osteoarthritis rehabilitation monitoring. BSN 2016: 55-60 - 2015
- [j1]Kun-Hui Chen, Po-Chao Chen, Kai-Chun Liu, Chia-Tai Chan:
Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis. Sensors 15(2): 4193-4211 (2015) - [c1]Kai-Chun Liu, Chia-Tai Chan, Steen Jun-Ping Hsu:
A confidence-based approach to hand movements recognition for cleaning tasks using dynamic time warping. BSN 2015: 1-6
Coauthor Index
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