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…
Learning Transferable Sensor Models via Language-Informed Pretraining
Yuliang Chen, Arvind Pillai, Yu Yvonne Wu +5
Modern sensing systems generate large volumes of unlabeled multivariate time-series data. This abundance of unlabeled data makes self-supervised learning (SSL) a natural approach f…
MoCA: Multi-modal Cross-masked Autoencoder for Time Series in Digital Health
Howon Ryu, Yuliang Chen, Yacun Wang +5
Wearable devices enable continuous multi-modal physiological and behavioral monitoring, yet analysis of these data streams faces fundamental challenges including the lack of gold-s…
Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
Yunfei Luo, Yuliang Chen, Asif Salekin +1
Time-series foundation models excel at tasks like forecasting across diverse data types by leveraging informative waveform representations. Wearable sensing data, however, pose uni…