Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (3): 849-858.doi: 10.12305/j.issn.1001-506X.2024.03.10
• Sensors and Signal Processing • Previous Articles Next Articles
Degui YANG, Daofeng XU
Received:
2022-11-23
Online:
2024-02-29
Published:
2024-03-08
Contact:
Degui YANG
CLC Number:
Degui YANG, Daofeng XU. Human behavior recognition method of IR-UWB through wall radar based on time-frequency domain feature fusion[J]. Systems Engineering and Electronics, 2024, 46(3): 849-858.
Table 5
Single domain feature recognition results %"
行为 | PPV | TPR | F | |||||
频域 | 时域 | 频域 | 时域 | 频域 | 时域 | |||
行走 | 100 | 100 | 95.16 | 100 | 97.52 | 100 | ||
奔跑 | 98.44 | 100 | 100 | 100 | 99.21 | 100 | ||
起立 | 91.18 | 63.04 | 95.38 | 44.62 | 93.23 | 52.25 | ||
坐下 | 96.72 | 63.86 | 92.19 | 77.94 | 94.40 | 70.20 | ||
起身 | 87.88 | 70.83 | 95.08 | 57.63 | 91.34 | 63.55 | ||
跌倒 | 92.42 | 68.49 | 88.41 | 86.21 | 90.37 | 76.34 |
1 |
LIU J L , WANG L , FANG J , et al. Multi-target intense human motion analysis and detection using channel state information[J]. Sensors, 2018, 18 (10): 3379- 3386.
doi: 10.3390/s18103379 |
2 | AMIN M G . Radar for indoor monitoring: detection, classification, and assessment[M]. London: CRC Press, 2018. |
3 |
王彩云, 姚晨, 吴钇达, 等. 基于改进Dijkstra算法与时频域滤波的雷达目标识别[J]. 系统工程与电子技术, 2022, 44 (10): 3090- 3095.
doi: 10.12305/j.issn.1001-506X.2022.10.12 |
WANG C Y , YAO C , WU Y D , et al. Radar target recognition based on improved Dijkstra algorithm with time frequency domain filtering[J]. Systems Engineering and Electronics, 2022, 44 (10): 3090- 3095.
doi: 10.12305/j.issn.1001-506X.2022.10.12 |
|
4 |
王彩云, 黄盼盼, 李晓飞, 等. 基于AEPSO-SVM算法的雷达HRRP目标识别[J]. 系统工程与电子技术, 2019, 41 (9): 1984- 1989.
doi: 10.3969/j.issn.1001-506X.2019.09.10 |
WANG C Y , HUANG P P , LI X F , et al. Radar HRRP target recognition based on AEPSO-SVM algorithm[J]. Systems Engineering and Electronics, 2019, 41 (9): 1984- 1989.
doi: 10.3969/j.issn.1001-506X.2019.09.10 |
|
5 |
YANG D G , ZHU Z L , ZHANG J C , et al. The overview of human localization and vital sign signal measurement using handheld IR-UWB through-wall radar[J]. Sensors, 2021, 21 (2): 402.
doi: 10.3390/s21020402 |
6 | ZHU Z L, YANG D G, LIANG B G. Vital sign signal extraction method based on permutation entropy and EMD algorithm for ultra-wideband radar[C]//Proc. of the 3rd International Conference on Electronic Information Technology and Computer Engineering, 2019. |
7 |
孙晶明, 虞盛康, 孙俊. 基于元学习的雷达小样本目标识别方法及改进[J]. 系统工程与电子技术, 2022, 44 (6): 1839- 1845.
doi: 10.12305/j.issn.1001-506X.2022.06.09 |
SUN J M , YU S K , SUN J . Radar small sample target recognition method based on meta learning and its improvement[J]. Systems Engineering and Electronics, 2022, 44 (6): 1839- 1845.
doi: 10.12305/j.issn.1001-506X.2022.06.09 |
|
8 |
晏媛, 孙俊, 孙晶明, 等. 雷达小样本目标识别方法及应用分析[J]. 系统工程与电子技术, 2021, 43 (3): 684- 692.
doi: 10.19665/j.issn1001-2400.2021.02.002 |
YAN Y , SUN J , SUN J J , et al. Radar few shot target recognition method and application analysis[J]. Systems Engineering and Electronics, 2021, 43 (3): 684- 692.
doi: 10.19665/j.issn1001-2400.2021.02.002 |
|
9 | 王兆其. 虚拟人合成研究综述[J]. 中国科学院研究生院学报, 2000, 17 (2): 89- 98. |
WANG Z Q . A review of research on virtual human synthesis[J]. Journal of Graduate School, Academia Sinica, 2000, 17 (2): 89- 98. | |
10 |
DORP P , GROEN F C A . Human walking estimation with radar[J]. IEEE Proceedings Radar, Sonar and Navigation, 2003, 150 (5): 356- 365.
doi: 10.1049/ip-rsn:20030568 |
11 | DORP P V , GROEN F C A . Feature-based human motion parameter estimation with radar[J]. IET Radar, Sonar & Navigation, 2008, 2 (2): 135- 145. |
12 | CHEN V C , LI F , HO S S , et al. Micro-Doppler effect in radar: phenomenon, model, and simulation study[J]. IEEE Trans.on Aerospace and Electronic Systems, 2006, 42 (1): 2- 21. |
13 |
ZHU Z L , YANG D G , ZHANG J C , et al. Dataset of human motion status using IR-UWB through wall radar[J]. Journal of Systems Engineering and Electronics, 2021, 32 (5): 1083- 1096.
doi: 10.23919/JSEE.2021.000093 |
14 | WU Q , ZHANG Y D , TAO W , et al. Radar based fall detection based on Doppler time frequency signatures for assisted living[J]. IET Radar, Sonar & Navigation, 2015, 9 (2): 164- 172. |
15 | SUN Z S, WANG J, SUN J P, et al. Parameter estimation method of walking human based on radar micro-Doppler[C]//Proc. of the IEEE Radar Conference, 2017: 567-570. |
16 | 张军. 多站低频雷达运动人体微多普勒特征提取与跟踪技术[D]. 长沙: 国防科技大学, 2017. |
ZHANG J. Technique of human micro-Doppler feature extraction and tracking with multi-station low frequency radar[D]. Changsha: National University of Defense Technology, 2017. | |
17 |
OROVIC' I , STANKOVIC' S , AMIN M G . A new approach for classification of human gait based on time-frequency feature representations[J]. Signal Processing, 2011, 91 (6): 1448- 1456.
doi: 10.1016/j.sigpro.2010.08.013 |
18 |
DING C W , ZHANG L , CHEN H , et al. Human motion re-cognition with spatial-temporal-convLSTM network using dynamic range-Doppler frames based on portable FMCW radar[J]. IEEE Trans.on Microwave Theory Technology, 2022, 70 (11): 5029- 5038.
doi: 10.1109/TMTT.2022.3200097 |
19 |
DING C W , HONG H , ZOU Y , et al. Continuous human motion recognition with a dynamic range-Doppler trajectory method based on FMCW radar[J]. IEEE Trans.on Geoscience and Remote Sensing, 2019, 57 (9): 6821- 6831.
doi: 10.1109/TGRS.2019.2908758 |
20 |
DING C W , CHAE R , WANG J , et al. Inattentive driving behavior detection based on portable FMCW radar[J]. IEEE Trans.on Microwave Theory Technology, 2019, 67 (10): 4031- 4041.
doi: 10.1109/TMTT.2019.2934413 |
21 |
REN L Y , TRAN N , FARNAZ F , et al. Short-time state-space method for micro-Doppler identification of walking subject using UWB impulse Doppler radar[J]. IEEE Trans.on Microwave Theory Technology, 2018, 66 (7): 3521- 3534.
doi: 10.1109/TMTT.2018.2829523 |
22 |
YAO Y R , LIU W B , ZHANG G , et al. Radar-based human activity recognition using hyperdimensional computing[J]. IEEE Trans.on Microwave Theory Technology, 2022, 70 (3): 1605- 1619.
doi: 10.1109/TMTT.2021.3134992 |
23 |
SADREAZAMI H , BOLIC M , RAJAN S . Contactless fall detection using time-frequency analysis and convolutional neural networks[J]. IEEE Trans.on Industrial Informatics, 2021, 17 (10): 6842- 6851.
doi: 10.1109/TII.2021.3049342 |
24 |
KIM Y , LING H . Human activity classification based on micro-Doppler signatures using a support vector machine[J]. IEEE Trans.on Geoscience and Remote Sensing, 2009, 47 (5): 1328- 1337.
doi: 10.1109/TGRS.2009.2012849 |
25 |
JOKANOVIC' B , Amin M G . Suitability of data representation domains in expressing human motion radar signals[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14 (12): 2370- 2374.
doi: 10.1109/LGRS.2017.2765341 |
26 | AMIN M G , AHMAD F , ZHANG Y D , et al. Human gait recognition with cane assistive device using quadratic time-frequency distributions[J]. IET Radar, Sonar & Navigation, 2015, 9, 1224- 1230. |
27 |
孙忠胜, 王俊, 毕严先, 等. 基于广义S变换的多人微多普勒特征分析[J]. 系统工程与电子技术, 2014, 36 (7): 1291- 1297.
doi: 10.3969/j.issn.1001-506X.2014.07.11 |
SUN Z S , WANG J , BI Y X , et al. Analysis of multi human micro Doppler signatures based on generalized S transform[J]. Systems Engineering and Electronics, 2014, 36 (7): 1291- 1297.
doi: 10.3969/j.issn.1001-506X.2014.07.11 |
|
28 | CHANG C C , LIN C J . LibSVM: a library for support vector machines[J]. ACM Trans.on Intelligent Systems and Technology, 2011, 2 (3): 1- 27. |
29 | HSU C W , LIN C J . A comparison of methods for multi-class support vector machines[J]. IEEE Trans.on Neural Networks, 2002, 13 (2): 415- 425. |
30 | 杜浩. 基于深度学习的超宽带雷达人体行为辨识研究[D]. 长沙: 国防科技大学, 2020. |
DU H. Research on deep learning-based human behavior recognition in ultra-wideband radar[D]. Changsha: National University of Defense Technology, 2020. | |
31 | 蒋留兵, 李骢, 车俐. 超宽带雷达人体动作识别[J]. 电子测量与仪器学报, 2018, 32 (1): 129- 134. |
JIANG L B , LI C , CHE L . Human motion recognition by-ultra-wide band radar[J]. Journal of Electronic Measurement and Instrumentation, 2018, 32 (1): 129- 134. |
[1] | Zhiqiang JIAO, Kan YI, Jieyong ZHANG, Peiyang YAO. C4ISR state monitoring method based on SVM incremental learning of imbalanced data [J]. Systems Engineering and Electronics, 2024, 46(3): 992-1003. |
[2] | Xiaofeng ZHAO, Jiahui NIU, Chuntong LIU, Yuting XIA. Hyperspectral image classification based on hybrid convolution with three-dimensional attention mechanism [J]. Systems Engineering and Electronics, 2023, 45(9): 2673-2680. |
[3] | Wei FANG, Jingwen LIANG, Hengyang LU. Genetic programming algorithm based on cluster tournament and parent matching [J]. Systems Engineering and Electronics, 2023, 45(8): 2405-2414. |
[4] | Husheng WANG, Baixiao CHEN, Qingzhi YE. Research on anti-chaff jamming method based on measured data [J]. Systems Engineering and Electronics, 2023, 45(7): 2010-2021. |
[5] | Fan YANG, Ping MA, Wei LI, Ming YANG. Intelligent ranking evaluation method of simulation models based on siamese network [J]. Systems Engineering and Electronics, 2023, 45(7): 2060-2068. |
[6] | Danyang LIU, Kun WU, Yongfeng ZHU, Yongjie ZHANG, Jianxiong ZHOU. Robust feature selection method for ground target HRRP recognition [J]. Systems Engineering and Electronics, 2023, 45(12): 3726-3733. |
[7] | Bo LI, Gexi HU, Jianjun SHI, Hengchang LIU, Tao HONG. Fault feature extraction method of rolling bearing based on multiple penalty factors optimization VMD [J]. Systems Engineering and Electronics, 2023, 45(11): 3690-3698. |
[8] | Jia LIU, Qunyu XU, Weishi CHEN. Motion feature extraction and ensembled classification method based on radar tracks for drones [J]. Systems Engineering and Electronics, 2023, 45(10): 3122-3131. |
[9] | Zexuan MA, Jin LI, Yanli LU, Chen CHEN. Network intrusion detection method based on WaveNet and BiGRU [J]. Systems Engineering and Electronics, 2022, 44(8): 2652-2660. |
[10] | Haoliang LI, Siwei CHEN, Xuesong WANG. Study on characterization of sea corner reflectors in polarimetric rotation domain [J]. Systems Engineering and Electronics, 2022, 44(7): 2065-2073. |
[11] | Chunling XUE, Fei CAO, Qing SUN, Jianqiang QIN, Xiaowei FENG. Sea-surface weak target detection based on multi-feature information fusion [J]. Systems Engineering and Electronics, 2022, 44(11): 3338-3345. |
[12] | Feng ZHU, Qianqian JIANG, Chuan LIN, Xiao YANG. Typical wideband EMI identification based on support vector machine [J]. Systems Engineering and Electronics, 2021, 43(9): 2400-2406. |
[13] | Ang LI, Dangmin NIE, Xiangxi WEN, Zekun WANG, Chengxiu YANG. Operation situation assessment of control system based on interdependent network and SVM [J]. Systems Engineering and Electronics, 2021, 43(5): 1287-1294. |
[14] | Li WANG, Ziqi LIU. Fault diagnosis of analog circuit for WPA-IGA-BP neural network [J]. Systems Engineering and Electronics, 2021, 43(4): 1133-1143. |
[15] | Hao CHEN, Jun'an YANG, Hui LIU. Communication transmitter individual identification based on deep residual adaptation network [J]. Systems Engineering and Electronics, 2021, 43(3): 603-609. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||