[1] Wang Y J. Discussion on safety management of construction site[J]. Journal of Safety Science and Technology, 8, 222-225(2012).

[2] Qian Q H, Rong X L. State, issues and relevant recommendations for security risk management of China's underground engineering[J]. Chinese Journal of Rock Mechanics and Engineering, 27, 649-655(2008).

[3] Cai J, Fan Y Y, Dong Z J et al. Design of elderly tumble monitoring system based on wearable platform[J]. Transducer and Microsystem Technologies, 36, 130-133(2017).

[4] Huo H W, Zhang H K. Fall detection using radio signals of home wireless sensor networks[J]. Acta Electronica Sinica, 39, 195-200(2011).

[5] Wang T, Li Q W, Liu Y et al. Abnormal human body behavior recognition using pose estimation[J]. Chinese Journal of Scientific Instrument, 37, 2366-2372(2016).

[6] Zhu X D, Liu Z J. Human abnormal behavior recognition based on topic hidden Markov model[J]. Computer Science, 39, 251-255, 275(2012).

[7] Sun X W, Sun Z W, Qin F. Research on human fall detection based on threshold and PSO-SVM[J]. Computer Engineering, 42, 317-321(2016).

[8] Shi X, Xiong Q, Lei L[J]. Research on fall detection system based on pressure sensor Chinese Journal of Scientific Instrument, 2010, 237-242.

[9] Planinc R, Kampel M. Introducing the use of depth data for fall detection[J]. Personal and Ubiquitous Computing, 17, 1063-1072(2013). http://link.springer.com/article/10.1007/s00779-012-0552-z

[10] Wang X, Wo B H, Guan Q et al. Human action recognition based on manifold learning[J]. Journal of Image and Graphics, 19, 914-923(2014).

[11] Xie L, Liao H J, Yang Y B. Recognition and application research of kinect-based gesture[J]. Computer Technology and Development, 23, 258-260(2013).

[12] Shani G, Shapiro A, Oded G et al. Validity of the microsoft kinect system in assessment of compensatory stepping behavior during standing and treadmill walking[J]. European Review of Aging and Physical Activity, 14, 1-11(2017).

[13] Bian Z Y. Research on detection method of human abnormal behavior based on RGB-D video[D]. Beijing: Beijing Institute of Technology(2016).

[14] Liu J, Gong Z H, Gao E Y et al. A human motion detection method based on depth and information entropy[J]. Journal of Chinese Computer Systems, 35, 388-392(2014).

[15] Li W Y, Ma X, Mu C Y. Detection and analysis on fall behavior based on Kinect V2[J]. Modern Electronics Technique, 42, 142-145(2019).