Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

• DOI: 10.48550/arxiv.2001.07416
• Publication Date: 2020-01-01
• Authors: Kaixuan Chen; Dalin Zhang; Lina Yao; Bin Guo; Zhiwen Yu; Yunhao Liu
• Keywords: Activity Recognition

The vast proliferation of sensor devices and Internet Things enables the applications sensor-based activity recognition. However, there exist substantial challenges that could influence performance recognition system in practical scenarios. Recently, as deep learning has demonstrated its effectiveness many areas, plenty methods have been investigated to address In this study, we present a survey state-of-the-art for human We first introduce multi-modality sensory data provide information public datasets can be used evaluation different challenge tasks. then propose new taxonomy structure by challenges. Challenges challenge-related are summarized analyzed form an overview current research progress. At end work, discuss open issues some insights future directions.