Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting

• Prif Awduron: Jianglai Yu (Awdur), Lei Zhang (Awdur), Dongzhou Cheng (Awdur), Wenbo Huang (Awdur), Hao Wu (Awdur), Aiguo Song (Awdur)
• Fformat: Llyfr
• Cyhoeddwyd: IEEE, 2024-01-01T00:00:00Z.
• Pynciau: article
• Mynediad Ar-lein: Connect to this object online.

Early-exiting has recently provided an ideal solution for accelerating activity inference by attaching internal classifiers to deep neural networks. It allows easy activity samples to be predicted at shallower layers, without executing deeper layers, hence leading to notable adaptiveness in terms of...