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Application of Smart Glasses for Field Workers Performing Soil Contamination Surveys with Portable Equipment

Author

Listed:
  • Dawon Kim

    (Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea)

  • Yosoon Choi

    (Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea)

Abstract

Currently, portable X-ray fluorescence (PXRF) analysis is widely used as an auxiliary method for the preliminary investigation of soil heavy metal contamination. In this study, a smart glasses-based application (app) was developed to support field workers performing soil contamination surveys with a PXRF analyzer. The app was developed using the MIT App Inventor and runs on smart glasses based on an optical head-mounted display that provides both the original function of glasses to see the objects in front of the wearer, and the function of a computer at the same time. Using the app, a field worker wearing smart glasses can move to soil sampling points while checking the satellite image, survey plan, and real-time locations of other field workers through the smart glasses. At a sampling point, the worker can use both hands to collect and pretreat soil samples, and then measure the content of elements using a PXRF analyzer. The measurement results can be entered into the app using a wearable keyboard and shared in real-time with other field workers. The demonstration at the Ilgwang mine in Korea revealed that the app could effectively support field workers and shorten the working time compared to a previous study that was performed under the same conditions. The subjective workload was evaluated using the NASA task load index on ten subjects, and most of workload factors were evaluated as low.

Suggested Citation

  • Dawon Kim & Yosoon Choi, 2022. "Application of Smart Glasses for Field Workers Performing Soil Contamination Surveys with Portable Equipment," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12370-:d:928405
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    References listed on IDEAS

    as
    1. Arif Ali Baig Moghal & Mohammed Abdul Lateef & Syed Abu Sayeed Mohammed & Kehinde Lemboye & Bhaskar C. S. Chittoori & Abdullah Almajed, 2020. "Efficacy of Enzymatically Induced Calcium Carbonate Precipitation in the Retention of Heavy Metal Ions," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    2. Sung-Min Kim & Yosoon Choi, 2017. "Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data," IJERPH, MDPI, vol. 14(6), pages 1-16, June.
    3. Mahdokht Kalantari & Philipp Rauschnabel, 2018. "Exploring the Early Adopters of Augmented Reality Smart Glasses: The Case of Microsoft HoloLens," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 229-245, Springer.
    4. Hyeongyu Lee & Yosoon Choi & Jangwon Suh & Seung-Ho Lee, 2016. "Mapping Copper and Lead Concentrations at Abandoned Mine Areas Using Element Analysis Data from ICP–AES and Portable XRF Instruments: A Comparative Study," IJERPH, MDPI, vol. 13(4), pages 1-15, March.
    5. Jangwon Suh & Hyeongyu Lee & Yosoon Choi, 2016. "A Rapid, Accurate, and Efficient Method to Map Heavy Metal-Contaminated Soils of Abandoned Mine Sites Using Converted Portable XRF Data and GIS," IJERPH, MDPI, vol. 13(12), pages 1-18, December.
    Full references (including those not matched with items on IDEAS)

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