Human motion recognition method based on pyroelectric infrared sensor

Xiaobing Xu; Taotao Zuo; Baishun Sun; Qiyue Li; Gang Wu

doi:10.3788/IRLA20210188

[1] C I Patel, D Labana, S Pandya, et al. Histogram of oriented gradient-based fusion of features for human action recognition in action video sequences. Sensors, 20, 7299(2020).

[2] Shiwei Ma, Lina Liu, Qi Fu, et al. Using PHOG fusion features and multi-class Adaboost classifier for human behavior recognition. Optics and Precision Engineering, 26, 2827-2837(2018).

[3] Qinghui Li, Aihua Li, Zhigao Cui, et al. Action recognition via restricted dense trajectories and spatio-temporal co-occurrence feature. Optics and Precision Engineering, 26, 230-237(2018).

[4] R S Sandhya, N G Apparao, S V Usha. Kinematic joint descriptor and depth motion descriptor with convolutional neural networks for human action recognition. Materials Today: Proceedings, 37, 3164-3173(2020).

[5] Xiaomin Pei, Huijie Fan, Yandong Tang. Action recognition method of spatio-temporal feature fusion deep learning network. Infrared and Laser Engineering, 47, 0203007(2018).

[6] Xiaomin Pei, Huijie Fan, Yandong Tang. Two-person interaction recognition based on multi-stream spatio-temporal fusion network. Infrared and Laser Engineering, 49, 20190552(2020).

[7] S Q Liu, J C Zhang, Y Z Zhang, et al. A wearable motion capture device able to detect dynamic motion of human limbs. Nature Communications, 11, 5615(2020).

[8] Benyue Su, Dandan Zheng, Qingfeng Tang, et al. Human daily short-time activity recognition method driven by single sensor data. Infrared and Laser Engineering, 48, 0226003(2019).

[9] Zhenyu Wang, Lei Zhang. Deep convolutional and gated recurrent neural networks for sensor-based activity recognition. Journal of Electronic Measurement and Instrumentation, 34, 1-9(2020).

[10] Y Wang, X L Jiang, R Y Cao, et al. Robust indoor human activity recognition using wireless signals. Sensors, 15, 17195-208(2015).

[11] Xiwen Liu, Haiming Chen. Wi-ACR: a human action counting and recognition method based on CSI. Jourmal of Beijing University of Posts and Telecommunications, 43, 105-111(2020).

[12] P De, A Chatterjee, A Rakshit. PIR sensor-based AAL tool for human movement detection: modified MCP-based dictionary learning approach. IEEE Transactions on Instrumentation and Measurement, 69, 7377-7385(2020).

[13] Pourpanah F, Zhang B, Ma R, et al. Nonintrusive human motion recognition using distributed sparse senss the geic algithm based neural wk[C]2018 IEEE Senss. IEEE, 2018: 14.

[14] Sun Q, Hu F. Dualmode binary thermal sensing f indo human scenario recognition with pyroelectric infrared senss[C]2019 IEEE Senss. IEEE, 2019: 14.

[15] Q Guan, C Li, L Qin, et al. Daily activity recognition using pyroelectric infrared sensors and reference structures. IEEE Sensors Journal, 19, 1645-1652(2018).

[16] Y Yang, H L Yang, Z X Liu, et al. Fall detection system based on infrared array sensor and multi-dimensional feature fusion. Measurement, 192, 110870(2022).

[17] Y Lecun, L Bottou, Y Bengio, et al. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86, 2278-2324(1998).

[18] Cho K, Van M B, Gulcehre C, et al. Learning phrase representations using RNN encoderdecoder f statistical machine translation[DBOL]. (20140603). https:arxiv.gabs1406.1078.

[19] Chung J, Gulcehre C, Cho K H, et al. Empirical evaluation of gated recurrent neural wks on sequence modeling[DBOL]. https:arxiv.gabs1412.3555.

[20] N Srivastava, G Hinton, A Krizhevsk, et al. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15, 1929-1958(2014).