Journal article
Mobile Near-infrared Sensing: A Systematic Review on Devices, Data, Modeling, and Applications
Weiwei Jiang, Jorge Goncalves, Vassilis Kostakos
ACM Computing Surveys | Association for Computing Machinery (ACM) | Published : 2024
DOI: 10.1145/3652596
Abstract
Mobile near-infrared sensing is becoming an increasingly important method in many research and industrial areas. To help consolidate progress in this area, we use the PRISMA guidelines to conduct a systematic review of mobile near-infrared sensing, including (1) existing prototypes and commercial products, (2) data collection techniques, (3) machine learning methods, and (4) relevant application areas. Our work measures historical and current trends and identifies current challenges and future directions for this emerging topic.
Grants
Awarded by Natural Science Foundation of China
Awarded by Startup Foundation for Introducing Talent of NUIST, Australian Research Council
Funding Acknowledgements
This work was supported in part by the Natural Science Foundation of China under Grant No. 62072004, the Startup Foundation for Introducing Talent of NUIST, Australian Research Council under Grant No. DP190102627. Weiwei Jiang is supported by Melbourne Research Scholarships.