4 papers
Sedentary Behavior Classification for Wearable Sensors with a CNN-BiLSTM Model
Yuliang Chen, Weiwei Shi, Jingjing Zou +10
Accurate detection of sedentary behavior is important for studying health risks related to prolonged sitting, but posture-based classification remains challenging with wearable sen…
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding
Yiren Wang, Fatima Tuz-Zahra, Rong Zablocki +9
Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can captur…
A Riemann Manifold Model Framework for Longitudinal Changes in Physical Activity Patterns
Jingjing Zou, Tuo Lin, Chongzhi Di +7
Physical activity (PA) is significantly associated with many health outcomes. The wide usage of wearable accelerometer-based activity trackers in recent years has provided a unique…
Predicting Eating Events in Free Living Individuals -- A Technical Report
Jiayi Wang, Jiue-An Yang, Supun Nakandala +2
This technical report records the experiments of applying multiple machine learning algorithms for predicting eating and food purchasing behaviors of free-living individuals. Data…