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

Published: 10 April 2024 Publication History
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  • 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.

    Supplementary Material

    csur-2022-0837-File003 (csur-2022-0837-file003.pdf)
    Supplementary material

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

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          cover image ACM Computing Surveys
          ACM Computing Surveys  Volume 56, Issue 8
          August 2024
          963 pages
          ISSN:0360-0300
          EISSN:1557-7341
          DOI:10.1145/3613627
          • Editors:
          • David Atienza,
          • Michela Milano
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          Publication History

          Published: 10 April 2024
          Online AM: 16 March 2024
          Accepted: 07 March 2024
          Revised: 19 February 2024
          Received: 06 November 2022
          Published in CSUR Volume 56, Issue 8

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          1. Mobile computing
          2. near-infrared
          3. mobile sensing
          4. data
          5. machine learning

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