Fast and Robust Real-Time Estimation of Respiratory Rate from Photoplethysmography. - Hodam Kim; Jeong-Youn Kim; Chang-Hwan Im (Sensors, 2016)

Detection of Craving for Gaming in Adolescents with Internet Gaming Disorder Using Multimodal Biosignals. - Hodam Kim; Jihyeon Ha; Won-Du Chang; Wanjoo Park; Laehyun Kim; Chang-Hwan Im (Sensors, 2018)

Machine-Learning-Based Detection of Craving for Gaming Using Multimodal Physiological Signals: Validation of Test-Retest Reliability for Practical Use. - Hodam Kim; Laehyun Kim; Chang-Hwan Im (Sensors, 2019)

Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface. - Seonghun Park; Ho-Seung Cha; Jinuk Kwon; Hodam Kim; Chang-Hwan Im (BCI, 2020)

Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces. - Hodam Kim; Chang-Hwan Im (Frontiers Neuroinformatics, 2021)

Classification of Individual's discrete emotions reflected in facial microexpressions using electroencephalogram and facial electromyogram. - Hodam Kim; Dan Zhang 014; Laehyun Kim; Chang-Hwan Im (Expert Syst. Appl., 2022)

Modulation of Driver's Emotional States by Manipulating In-Vehicle Environment: Validation With Biosignals Recorded in An Actual Car Environment. - Hodam Kim; Suhye Kim; Hongmin Kim; Youngsoo Ji; Chang-Hwan Im (IEEE Trans. Affect. Comput., 2022)

Novel Smart N95 Filtering Facepiece Respirator with Real-time Adaptive Fit Functionality and Wireless Humidity Monitoring for Enhanced Wearable Comfort. - Kangkyu Kwon; Yoonjae Lee; Yeongju Jung; Ira Soltis; Chanyeong Choi; Yewon Na; Lissette Romero; Myung-Chul Kim; Nathan Rodeheaver; Hodam Kim; Michael S. Lloyd; Ziqing Zhuang; et al. (CoRR, 2023)

Development of a Computer-Aided Education System Inspired by Face-to-Face Learning by Incorporating EEG-Based Neurofeedback Into Online Video Lectures. - Hodam Kim; Younsoo Chae; Suhye Kim; Chang-Hwan Im (IEEE Trans. Learn. Technol., 2023)