B
Bosun Hwang
Researcher at Seoul National University
Publications - 4
Citations - 103
Bosun Hwang is an academic researcher from Seoul National University. The author has contributed to research in topics: Feature engineering & Actigraphy. The author has an hindex of 2, co-authored 4 publications receiving 62 citations.
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Journal ArticleDOI
Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.
TL;DR: This study proposes a "novel" approach to stress recognition using electrocardiogram signals that avoids the intractable long-term heart rate variability (HRV) parameter extraction process.
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Deep-ACTINet: End-to-End Deep Learning Architecture for Automatic Sleep-Wake Detection Using Wrist Actigraphy
TL;DR: The suggested end-to-end deep learning model, Deep-ACTINet, was designed to be a general model and thus has the potential to replace current actigraphy algorithms equipped in wristband wearable devices.
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Optimal Feature Search for Vigilance Estimation Using Deep Reinforcement Learning
TL;DR: A deep Q-network (DQN) algorithm was designed, using conventional feature engineering and deep convolutional neural network methods, to extract the optimal features from electroencephalogram and electrocardiogram measurements, and the results suggest that the DQN could be applied to investigating biomarkers for physiological responses and optimizing the classification system to reduce the input resources.
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Unobtrusive measurement of indoor energy expenditure using an infrared sensor-based activity monitoring system.
TL;DR: It is determined that the proposed IR-based EE measurement system shows a similar correlation to the Actigraph system with the standard measurement system.