About
Contact & Profiles
A5003447857
Research Areas
- Anomaly Detection Techniques and Applications
- Human Pose and Action Recognition
- Context-Aware Activity Recognition Systems
Zhejiang University
2019
Sensor-based human activity recognition aims at detecting various physical activities performed by people with ubiquitous sensors. Different from existing deep learning-based method which mainly extracting black-box features the raw sensor data, we propose a hierarchical multi-view aggregation network based on feature spaces. Specifically, first construct views of spaces for each individual in terms white-box and features. Then our model learns unified representation aggregating context...
10.1371/journal.pone.0221390
article
EN
cc-by
PLoS ONE
2019-09-12
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