Human fall detection method based on 4D point cloud and track information
In family and medical health monitoring, timely and accurate real-time monitoring of elderly falls is an important topic, and millimeter wave radar has shown great application potential in non-contact fall detection. The traditional method mainly uses the Doppler information obtained by millimeter w...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2024-01-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000163452 |
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| _version_ | 1850157387443339264 |
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| author | Zhou Yang Li Jianpeng Wang Zhiyu Liang Qingzhen |
| author_facet | Zhou Yang Li Jianpeng Wang Zhiyu Liang Qingzhen |
| author_sort | Zhou Yang |
| collection | DOAJ |
| description | In family and medical health monitoring, timely and accurate real-time monitoring of elderly falls is an important topic, and millimeter wave radar has shown great application potential in non-contact fall detection. The traditional method mainly uses the Doppler information obtained by millimeter wave radar as the fall detection feature. However, for some scenarios, such as the distance between the person and the radar or the direction of the fall is perpendicular to the normal of the radar antenna, the effectiveness of the Doppler information feature will be reduced, and the fall detection accuracy will be reduced. |
| format | Article |
| id | doaj-art-02cf14fa63314a5fb20f665aeaff4b11 |
| institution | OA Journals |
| issn | 0258-7998 |
| language | zho |
| publishDate | 2024-01-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj-art-02cf14fa63314a5fb20f665aeaff4b112025-08-20T02:24:13ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982024-01-0150112012410.16157/j.issn.0258-7998.2342283000163452Human fall detection method based on 4D point cloud and track informationZhou Yang0Li Jianpeng1Wang Zhiyu2Liang Qingzhen3Sichuan Cric Technology Co.， Ltd.， Chengdu 610041， ChinaSichuan Cric Technology Co.， Ltd.， Chengdu 610041， ChinaSichuan Cric Technology Co.， Ltd.， Chengdu 610041， ChinaSichuan Cric Technology Co.， Ltd.， Chengdu 610041， ChinaIn family and medical health monitoring, timely and accurate real-time monitoring of elderly falls is an important topic, and millimeter wave radar has shown great application potential in non-contact fall detection. The traditional method mainly uses the Doppler information obtained by millimeter wave radar as the fall detection feature. However, for some scenarios, such as the distance between the person and the radar or the direction of the fall is perpendicular to the normal of the radar antenna, the effectiveness of the Doppler information feature will be reduced, and the fall detection accuracy will be reduced.http://www.chinaaet.com/article/3000163452millimeter wave radar4d point cloudfall detection |
| spellingShingle | Zhou Yang Li Jianpeng Wang Zhiyu Liang Qingzhen Human fall detection method based on 4D point cloud and track information Dianzi Jishu Yingyong millimeter wave radar 4d point cloud fall detection |
| title | Human fall detection method based on 4D point cloud and track information |
| title_full | Human fall detection method based on 4D point cloud and track information |
| title_fullStr | Human fall detection method based on 4D point cloud and track information |
| title_full_unstemmed | Human fall detection method based on 4D point cloud and track information |
| title_short | Human fall detection method based on 4D point cloud and track information |
| title_sort | human fall detection method based on 4d point cloud and track information |
| topic | millimeter wave radar 4d point cloud fall detection |
| url | http://www.chinaaet.com/article/3000163452 |
| work_keys_str_mv | AT zhouyang humanfalldetectionmethodbasedon4dpointcloudandtrackinformation AT lijianpeng humanfalldetectionmethodbasedon4dpointcloudandtrackinformation AT wangzhiyu humanfalldetectionmethodbasedon4dpointcloudandtrackinformation AT liangqingzhen humanfalldetectionmethodbasedon4dpointcloudandtrackinformation |