5 papers
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition
Ying Yu, Siyao Li, Yixuan Jiang +5
Human Activity Recognition (HAR) is a fundamental technology for numerous human - centered intelligent applications. Although deep learning methods have been utilized to accelerate…
Redundant feature screening method for human activity recognition based on attention purification mechanism
Xiaoyang Li, Yixuan Jiang, Junze Zhu +4
In the field of sensor-based Human Activity Recognition (HAR), deep neural networks provide advanced technical support. Many studies have proven that recognition accuracy can be im…
USAD: End-to-End Human Activity Recognition via Diffusion Model with Spatiotemporal Attention
Hang Xiao, Ying Yu, Jiarui Li +4
The primary objective of human activity recognition (HAR) is to infer ongoing human actions from sensor data, a task that finds broad applications in health monitoring, safety prot…
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning
Hanyu Liu, Ying Yu, Hang Xiao +4
Sensor-based human activity recognition is a key technology for many human-centered intelligent applications. However, this research is still in its infancy and faces many unresolv…
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu, Jingwei Ji, Zhenpei Yang +11
Many existing motion prediction approaches rely on symbolic perception outputs to generate agent trajectories, such as bounding boxes, road graph information and traffic lights. Th…