survey

Mobile Near-infrared Sensing—A Systematic Review on Devices, Data, Modeling, and Applications

Authors:
Weiwei Jiang

Nanjing University of Information Science and Technology, Nanjing, China

Nanjing University of Information Science and Technology, Nanjing, China

0000-0003-4413-2497
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,
Jorge Goncalves

University of Melbourne, Melbourne, Australia

University of Melbourne, Melbourne, Australia

0000-0002-0117-0322
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,
Vassilis Kostakos

University of Melbourne, Melbourne, Australia

University of Melbourne, Melbourne, Australia

0000-0003-2804-6038
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Authors Info & Claims

ACM Computing Surveys Volume 56 Issue 8Article No.: 201pp 1–36https://doi.org/10.1145/3652596

Published:10 April 2024Publication History

ACM Computing Surveys

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.

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ACM Computing Surveys Volume 56, Issue 8
August 2024
963 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3613627
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Publication History
- Published: 10 April 2024
- Online AM: 16 March 2024
- Accepted: 7 March 2024
- Revised: 19 February 2024
- Received: 6 November 2022
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Participant selection for data collection through device-to-device communications in mobile sensing

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