EPOC aware energy expenditure estimation with machine learning. - Soljee Kim; Kyoungwoo Lee; Junga Lee; Justin Y. Jeon (SMC, 2016)

Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device. - Seung-chul Shin; Jinkyu Lee 002; Soyeon Choe; Hyuk In Yang; Jihee Min; Ki-Yong Ahn; Justin Y. Jeon; Hong-Goo Kang (Sensors, 2019)

Breath Acetone Measurement-Based Prediction of Exercise-Induced Energy and Substrate Expenditure. - Min Jae Kim; Sung Hyun Hong; Wonhee Cho 003; Dong-Hyuk Park; Eun-Byeol Lee; Yoonkyung Song; Yong-Sahm Choe; Jun Ho Lee; Yeonji Jang; Wooyoung Lee; Justin Y. Jeon (Sensors, 2020)

Development of a New Submaximal Walk Test to Predict Maximal Oxygen Consumption in Healthy Adults. - Hyuk In Yang; Wonhee Cho 003; Dong Hoon Lee; Sang-Hoon Suh; Justin Y. Jeon (Sensors, 2021)

Intelligent Estimation of Exercise Induced Energy Expenditure Including Excess Post-Exercise Oxygen Consumption (EPOC) with Different Exercise Intensity. - Junhyung Moon 001; Minsuk Oh; Soljee Kim; Kyoungwoo Lee; Junga Lee; Yoonkyung Song; Justin Y. Jeon (Sensors, 2023)