{"title":"基于FMCW雷达的车载乘客检测","authors":"Heemang Song, Youngkeun Yoo, Hyun-Chool Shin","doi":"10.1109/ICOIN50884.2021.9334014","DOIUrl":null,"url":null,"abstract":"In this paper, we suggest features for passenger detection inside the vehicle using frequency modulated continuous wave (FMCW) radar. In radar time-frequency spectrum, the magnitude variation of a person is caused by the physiological movements such as breathing and heartbeat. To quantify the physiological movements, the power of respiratory frequency band (0.1–0.4 Hz) and heartbeat frequency band (0.8–1.7 Hz) is used. We experimentally compare the proposed features under presence and absence of a person using FMCW radar signal acquired inside the vehicle.","PeriodicalId":6741,"journal":{"name":"2021 International Conference on Information Networking (ICOIN)","volume":"11 1","pages":"644-647"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"In-Vehicle Passenger Detection Using FMCW Radar\",\"authors\":\"Heemang Song, Youngkeun Yoo, Hyun-Chool Shin\",\"doi\":\"10.1109/ICOIN50884.2021.9334014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we suggest features for passenger detection inside the vehicle using frequency modulated continuous wave (FMCW) radar. In radar time-frequency spectrum, the magnitude variation of a person is caused by the physiological movements such as breathing and heartbeat. To quantify the physiological movements, the power of respiratory frequency band (0.1–0.4 Hz) and heartbeat frequency band (0.8–1.7 Hz) is used. We experimentally compare the proposed features under presence and absence of a person using FMCW radar signal acquired inside the vehicle.\",\"PeriodicalId\":6741,\"journal\":{\"name\":\"2021 International Conference on Information Networking (ICOIN)\",\"volume\":\"11 1\",\"pages\":\"644-647\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information Networking (ICOIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN50884.2021.9334014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN50884.2021.9334014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we suggest features for passenger detection inside the vehicle using frequency modulated continuous wave (FMCW) radar. In radar time-frequency spectrum, the magnitude variation of a person is caused by the physiological movements such as breathing and heartbeat. To quantify the physiological movements, the power of respiratory frequency band (0.1–0.4 Hz) and heartbeat frequency band (0.8–1.7 Hz) is used. We experimentally compare the proposed features under presence and absence of a person using FMCW radar signal acquired inside the vehicle.
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