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Journal Articles
- 2022
[j11]Jose Moon, Dongjun Lee, Hyunwoo Jung, Ahnryul Choi, Joung Hwan Mun:
Machine Learning Strategies for Low-Cost Insole-Based Prediction of Center of Gravity during Gait in Healthy Males. Sensors 22(9): 3499 (2022)- [j10]Ahnryul Choi, Euyhyun Park
, Tae Hyong Kim, Gi Jung Im, Joung Hwan Mun:
A Novel Optimization-Based Convolution Neural Network to Estimate the Contribution of Sensory Inputs to Postural Stability During Quiet Standing. IEEE J. Biomed. Health Informatics 26(9): 4414-4425 (2022) - 2020
- [j9]Ahnryul Choi, Hyunwoo Jung, Hyunggun Kim, Joung Hwan Mun:
Predicting Center of Gravity Displacement During Walking Using a Single Inertial Sensor and Deep Learning Technique. J. Medical Imaging Health Informatics 10(6): 1436-1443 (2020) - [j8]Hyunwoo Jung, Ahnryul Choi, Jose Moon, Seung Heon Chae, Kyungsuk Lee, Kyungran Kim, Joung Hwan Mun:
Insole System-Based Neural Network Model to Evaluate Force Risk in Cube Method: Application to Pepper Farming Tasks. J. Medical Imaging Health Informatics 10(6): 1444-1451 (2020) - [j7]Hakje Yoo, Ahnryul Choi, Hyunggun Kim, Joung Hwan Mun:
A Novel Surface Registration for Image-Guided Neurosurgery: Effects of Intervals of Points in Patient Space on Registration Accuracy. J. Medical Imaging Health Informatics 10(6): 1466-1472 (2020) - [j6]Tae Hyong Kim, Ahnryul Choi, Hyun Mu Heo, Hyunggun Kim, Joung Hwan Mun:
Acceleration Magnitude at Impact Following Loss of Balance Can Be Estimated Using Deep Learning Model. Sensors 20(21): 6126 (2020) - 2019
- [j5]Ahnryul Choi, Hyunwoo Jung, Ki Young Lee, Sangsik Lee, Joung Hwan Mun:
Machine learning approach to predict center of pressure trajectories in a complete gait cycle: a feedforward neural network vs. LSTM network. Medical Biol. Eng. Comput. 57(12): 2693-2703 (2019) - [j4]Ahnryul Choi, Hyunwoo Jung, Joung Hwan Mun:
Single Inertial Sensor-Based Neural Networks to Estimate COM-COP Inclination Angle During Walking. Sensors 19(13): 2974 (2019) - 2018
- [j3]Benjamin Cates, Taeyong Sim, Hyun Mu Heo, Bori Kim, Hyunggun Kim, Joung Hwan Mun:
A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System. Sensors 18(4): 1227 (2018) - 2015
- [j2]Su Hyun Youn, Taeyong Sim, Ahnryul Choi, Jinsung Song, Ki Young Shin, Il Kwon Lee, Hyun Mu Heo, Daeweon Lee, Joung Hwan Mun:
Multi-class biological tissue classification based on a multi-classifier: Preliminary study of an automatic output power control for ultrasonic surgical units. Comput. Biol. Medicine 61: 92-100 (2015) - 2014
- [j1]Su-Bin Joo, Seung Eel Oh, Taeyong Sim, Hyunggun Kim, Chang Hyun Choi, Hyeran Koo, Joung Hwan Mun:
Prediction of gait speed from plantar pressure using artificial neural networks. Expert Syst. Appl. 41(16): 7398-7405 (2014)
Conference and Workshop Papers
- 2004
- [c1]Hyo Shin Kim, Yoon Hyuk Kim, Yeon Hyeon Choe, Sung-Min Kim, Taeg-Sang Cho, Joung Hwan Mun:
A New Modeling Method for Objects with Branching Problem Using Non-uniform B-Spline. International Conference on Computational Science 2004: 1095-1102
Coauthor Index
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