18 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.HC2023
Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect
Zachary D King, Han Yu, Thomas Vaessen +2
As mobile health (mHealth) studies become increasingly productive due to the advancements in wearable and mobile sensor technology, our ability to monitor and model human behavior…
cs.LG2022
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
Huiyuan Yang, Han Yu, Kusha Sridhar +3
Accurately recognizing health-related conditions from wearable data is crucial for improved healthcare outcomes. To improve the recognition accuracy, various approaches have focuse…
eess.SP2021★ 18 cited
Modality Fusion Network and Personalized Attention in Momentary Stress Detection in the Wild
Han Yu, Thomas Vaessen, Inez Myin-Germeys +1
Multimodal wearable physiological data in daily life have been used to estimate self-reported stress labels. However, missing data modalities in data collection makes it challengin…