Privacy-Preserving Unobtrusive Fall Detection for Older Adults:A Highly Generalized Deep Anomaly Detection ModelOA
Detecting and treating older adults who fall in an environment without others is essential.Millimeterwave radar sensors do not have the disadvantage of invading user privacy like cameras,nor do they require users to wear them in real-time like wearable devices.Actual samples of older adults fall are difficult to collect,and it is unethical to require older adults to fall repeatedly to collect data.In addition,different body types and action patterns will inevitably reduce the model''s performance when new users use the model.In this paper,we constructed a fall detection model based on anomaly detection.The model is trained only using non-fall samples and detects falls as abnormal actions.The proposed model uses a domain generalization architecture based on domain feature alignment to extract domain-invariant features of the model,thereby improving the model''s generalization ability.In addition,we introduced the idea of denoising learning into the feature extractor and feature predictor to improve the model''s anti-interference ability.We conducted sufficient experiments to explore the effectiveness of the proposed method.When tested with new domain data,the proposed model has a true positive rate of 96.12%,a false positive rate of 0.97%,and an area under the receiver operating characteristic of 0.9979.
Yicheng Yao;Peng Wang;Zhongrui Bai;Hao Zhang;Pan Xia;Changyu Liu;Fanglin Geng;Lidong Du;Xianxiang Chen;Yecheng Liu;Huadong Zhu;Zhen Fang
Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,China National Key Laboratory of Electromagnetic Effect and Security on Marine Equipment,Nanjing 211153,China Nanjing Marine Radar Institute,Nanjing 211153,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China the Personalized Management of Chronic Respiratory Disease,Chinese Academy of Medical Sciences,Beijing 100094,ChinaAerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China the Personalized Management of Chronic Respiratory Disease,Chinese Academy of Medical Sciences,Beijing 100094,Chinathe State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical 2 College Hospital,Chinese Academy of Medical Science and Peking Union Medical College,Beijing 100005the State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical 2 College Hospital,Chinese Academy of Medical Science and Peking Union Medical College,Beijing 100005Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,China the Personalized Management of Chronic Respiratory Disease,Chinese Academy of Medical Sciences,Beijing 100094,China
信息技术与安全科学
frequency modulated continuous wave radardeep anomaly detectionfall detectiondomain generalization
《Tsinghua Science and Technology》 2026 (3)
P.1802-1818,17
supported by the National High Level Hospital Clinical Research Funding(No.2022-PUMCHB-110)the National Natural Science Foundation of China(Nos.62071451,62331025,and U21A20447)the CAMS Innovation Fund for Medical Sciences(No.2019-I2M-5-019).
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