Sensor-Driven Achieving of Smart Living: A Review
Pitshaporn Leelaarporn, Patcharapol Wachiraphan, Thitikorn Kaewlee, Tinnakit Udsa, Rattanaphon Chaisaen, Tanut Choksatchawathi, Rawipreeya Laosirirat, Payongkit Lakhan, Phantharach Natnithikarat, Kamonwan Thanontip, Wei Chen, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn
Abstract
This comprehensive review mainly analyzes and summarizes the recently published works on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research papers, especially in the past five years. We categorize them into four major research directions: activity tracker, affective computing, sleep monitoring, and ingestive behavior. We report each research direction's summary by following our defined sensor types: biomedical sensors, mechanical sensors, non-contact sensors, and others. Furthermore, the review behaves as one-stop service literature appropriate for novices who intend to research the direction of sensor-driven applications towards smart living. In conclusion, the state-of-the-art works, the publicity available data sources, and the future challenge issues (sensor selection, algorithms, and privacy) are the major contributions of this proposed article.