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A Voxelization Algorithm for Reconstructing mmWave Radar Point Cloud and an Application on Posture Classification for Low Energy Consumption Platform

Author

Listed:
  • Jiacheng Wu

    (Faculty of Engineering, University of Bristol, Bristol BS8 1QU, UK)

  • Han Cui

    (Faculty of Engineering, University of Bristol, Bristol BS8 1QU, UK)

  • Naim Dahnoun

    (Faculty of Engineering, University of Bristol, Bristol BS8 1QU, UK)

Abstract

Applications for millimeter-wave (mmWave) radars have become increasingly popular in human activity recognition. Many researchers have combined radars with neural networks and gained a high performance on various applications. However, most of these studies feed the raw point cloud data directly into the networks, which can be unstable and inaccurate under certain circumstances. In this paper, we define a reliability measure of the point cloud data and design a novel voxelization algorithm to reconstruct the data. Experiments show that our algorithm can improve the stability of the point cloud generated from mmWave radars in terms of error reduction and scene re-construction. We demonstrate the effectiveness of our proposed algorithm using a neural network-based system for identifying a person’s sitting direction. In our experiment, compared with the baseline, our voxelization algorithm can improve the system in terms of accuracy (4.3%), training time (55.6%), and computational complexity, which is more suitable for light-weighted networks and low energy consumption platforms.

Suggested Citation

  • Jiacheng Wu & Han Cui & Naim Dahnoun, 2023. "A Voxelization Algorithm for Reconstructing mmWave Radar Point Cloud and an Application on Posture Classification for Low Energy Consumption Platform," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3342-:d:1065561
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    References listed on IDEAS

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    1. Ahmad Jalal & Israr Akhtar & Kibum Kim, 2020. "Human Posture Estimation and Sustainable Events Classification via Pseudo-2D Stick Model and K-ary Tree Hashing," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
    2. Tom Kuhlman & John Farrington, 2010. "What is Sustainability?," Sustainability, MDPI, vol. 2(11), pages 1-13, November.
    3. Ziynet Boz & Virpi Korhonen & Claire Koelsch Sand, 2020. "Consumer Considerations for the Implementation of Sustainable Packaging: A Review," Sustainability, MDPI, vol. 12(6), pages 1-34, March.
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