2 papers
cs.CV2024
P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
Shuangjian Li, Tao Zhu, Mingxing Nie +3
Traditional deep learning methods struggle to simultaneously segment, recognize, and forecast human activities from sensor data. This limits their usefulness in many fields such as…
cs.HC2023
An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition
Jinqiang Wang, Tao Zhu, Huansheng Ning
Masked reconstruction serves as a fundamental pretext task for self-supervised learning, enabling the model to enhance its feature extraction capabilities by reconstructing the mas…