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Ki H. Chon

2 accepted papers

2025

Exploring Acted Sleepy Speech to Advance Real-World Sleepiness Estimation and Cognitive Degradation Detection

ICASSP 2025accepted

Accurate estimation of sleepiness levels is crucial for managing sleep-related health risks and preventing cognitive degradation that can lead to accidents in the workplace. However, using machine learning (ML) to estimate these levels from speech remains challenging, with reported weak correlations…

Cited by 0SourceScholar
2025

Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings

ICASSP 2025accepted

Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smartwatch-derived PPG, and the best reported sensitivity value for premature atrial/ventricular contraction (PAC/PVC) detec…

Cited by 0SourceScholar