Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Walking Security Alarm System for Mobile Phone Addicts

Authors
Yu Gu, Lei Chen, Xiaoyong Ji
Corresponding Author
Yu Gu
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.57How to use a DOI?
Keywords
mobile phone addicts; step counting algorithm; fall-down detection algorithm; graded alarm technology
Abstract

To handle walking safety problems for mobile phone addicts, a walking security alarm system based on android mobile platform is designed. According to movement features when someone is walking and when he falls down, this paper proposes a step counting algorithm and a fall-down detection algorithm based on SVM judging respectively. In addition, a graded alarm technology is designed, so that a complete security alarm and calling-for-help system is implemented. Test results indicate that the accuracy of core algorithms have reached over 96% in average, and functions of each module have reached the design objects.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
10.2991/ifmeita-17.2018.57
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.57How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Gu
AU  - Lei Chen
AU  - Xiaoyong Ji
PY  - 2018/02
DA  - 2018/02
TI  - Walking Security Alarm System for Mobile Phone Addicts
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 339
EP  - 344
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.57
DO  - 10.2991/ifmeita-17.2018.57
ID  - Gu2018/02
ER  -