GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction
Joint Authors
Lv, Shuaishuai
Cai, Wen-Yu
Guo, Jia-Hao
Zhang, Mei-Yan
Ruan, Zhi-Xiang
Zheng, Xue-Chen
Source
Journal of Healthcare Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Since fall is happening with increasing frequency, it has been a major public health problem in an aging society.
There are considerable demands to distinguish fall down events of seniors with the characteristics of accurate detection and real-time alarm.
However, some daily activities are erroneously signaled as falls and there are too many false alarms in actual application.
In order to resolve this problem, this paper designs and implements a comprehensive fall detection framework on the basis of inertial posture sensors and surveillance cameras.
In the proposed system framework, data sources representing behavior characteristics to indicate potential fall are derived from wearable triaxial accelerometers and monitoring videos of surveillance cameras.
Moreover, the NB-IoT based communication mode is adopted to transmit wearable sensory data to the Internet for subsequent analysis.
Furthermore, a Gradient Boosting Decision Tree (GBDT) classifier-based fall detection algorithm (GBDT-FD in short) with comprehensive data fusion of posture sensor and human video skeleton is proposed to improve detection accuracy.
Experimental results verify the good performance of the proposed GBDT-FD algorithm compared to six kinds of existing fall detection algorithms, including SVM-based fall detection, NN-based fall detection, etc.
Finally, we implement the proposed integrated systems including wearable posture sensors and monitoring software on the Cloud Server.
American Psychological Association (APA)
Cai, Wen-Yu& Guo, Jia-Hao& Zhang, Mei-Yan& Ruan, Zhi-Xiang& Zheng, Xue-Chen& Lv, Shuaishuai. 2020. GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction. Journal of Healthcare Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1186634
Modern Language Association (MLA)
Cai, Wen-Yu…[et al.]. GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction. Journal of Healthcare Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1186634
American Medical Association (AMA)
Cai, Wen-Yu& Guo, Jia-Hao& Zhang, Mei-Yan& Ruan, Zhi-Xiang& Zheng, Xue-Chen& Lv, Shuaishuai. GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction. Journal of Healthcare Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1186634
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186634