9 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 9 cited
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Human Activity Recognition (HAR) is a challenging, multi-label classification problem as activities may co-occur and sensor signals corresponding to the same activity may vary in d…
cs.LG2024★ 8 cited
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
Wen Ge, Guanyi Mou, Emmanuel O. Agu +1
Context-aware Human Activity Recognition (CHAR) is challenging due to the need to recognize the user's current activity from signals that vary significantly with contextual factors…
eess.SP2023
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data
Atifa Sarwar, Emmanuel O. Agu
To investigate whether a deep learning model can detect Covid-19 from disruptions in the human body's physiological (heart rate) and rest-activity rhythms (rhythmic dysregulation)…