Journal of Terahertz Science and Electronic Information Technology , Volume. 23, Issue 6, 640(2025)

Human posture fall detection algorithm based on deep learning

LI Wei1, YANG Xi1, LI Qingguang2, YE Lin3, and ZHOU Shenglong3
Author Affiliations
  • 1Yunnan Branch of Huaneng New Energy Co., Ltd., Kunming Yunnan 650000, China
  • 2Beijing Zhongtuo Xinyuan Technology Co., Ltd, Beijing 102206, China
  • 3Huaneng New Energy Co., Ltd, Beijing 100036, China
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    References(5)

    [6] [6] FAN Xinnan, GONG Qian, FAN Rong, et al. Substation personnel fall detection based on improved YOLOX[J]. Electronics, 2023, 12(20): 4328. DOI: 10.3390/electronics12204328.

    [7] [7] YAN Jianjun, WANG Xueqiang, SHI Jiangtao, et al. Skeleton-based fall detection with multiple inertial sensors using spatial-temporal graph convolutional networks[J]. Sensors, 2023, 23(4): 2153. DOI: 10.3390/s23042153.

    [8] [8] INTURI A R, MANIKANDAN V M, GARRAPALLY V. A novel vision-based fall detection scheme using keypoints of human skeleton with long short-term memory network[J]. Arabian Journal for Science and Engineering, 2023, 48(2): 1143-1155. DOI: 10.1007/s13369-022-06684-x.

    [11] [11] SAIKI Y, KABATA T, OJIMA T, et al. Reliability and validity of OpenPose for measuring hip-knee-ankle angle in patients with knee osteoarthritis[J]. Scientific Reports, 2023, 13(1): 3297. DOI: 10.1038/s41598-023-30352-1.

    [13] [13] SHEIKH S Y, JILANI M T. A ubiquitous wheelchair fall detection system using low-cost embedded inertial sensors and unsupervised one-class SVM[J]. Journal of Ambient Intelligence and Humanized Computing, 2023, 14(1): 147-162. DOI: 10.1007/s12652-021-03279-6.

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    LI Wei, YANG Xi, LI Qingguang, YE Lin, ZHOU Shenglong. Human posture fall detection algorithm based on deep learning[J]. Journal of Terahertz Science and Electronic Information Technology , 2025, 23(6): 640

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    Paper Information

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    Received: Nov. 6, 2023

    Accepted: Jul. 30, 2025

    Published Online: Jul. 30, 2025

    The Author Email:

    DOI:10.11805/tkyda2023404

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