NDLI: A smart phone-based pocket fall accident detection system

Content Provider	IEEE Xplore Digital Library
Author	Lih-Jen Kau Chih-Sheng Chen
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan (Lih-Jen Kau; Chih-Sheng Chen)
Abstract	A smart phone-based pocket fall accident detection system is proposed in this paper. To realize the system, the angles acquired by the electronic compass and the waveform sequence of the triaxial accelerometer on the smart phone are used as the input signals of the proposed system. The acquired signals are then used to generate an ordered feature sequence and examined in a sequential manner by the proposed cascade classifier for recognition purpose. Once the corresponding feature is verified by the classifier at current stage, it can proceed to next stage; otherwise, the system will reset to the initial state and wait for the appearance of another feature sequence. With the proposed cascade classification architecture, the computational burden and power consumption issue on the smart phone system can be alleviated. Moreover, as we will see in the experiment that a distinguished fall detection accuracy up to 96% on the sensitivity and 99.71% on the specificity can be obtained when a set of 400 test actions in eight different kinds of activities are estimated by using the proposed approach, which justifies the superiority of the proposed algorithm.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1
Ending Page	4
File Size	1438181
Page Count	4
File Format	PDF
e-ISBN	9781479927708
DOI	10.1109/ISBB.2014.6820905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-11
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Cascade classifier Triaxial accelerometer Electronic compass State machine Support vector machine Compass Fall detection Support vector machines Sensitivity Acceleration Smart phones Accidents Smart phone
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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