Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

Development of Person Localization and Activities Recognition System

Authors
Liandi Gao, Shuaib Tao, Changqing Ji, Baofeng Wang
Corresponding Author
Liandi Gao
Available Online November 2016.
DOI
10.2991/iwama-16.2016.48How to use a DOI?
Keywords
infrared sensors; localization; activities recognition; binary values
Abstract

This paper first presents the trends and related works of localization and activity recognition of human body. Then we introduced the discussion of multiple studies for person localization and activities recognition. And finally we can see that the ceiling binary infrared sensor network for locating and recognition showed growing advantages which were not limited by light condition, obstacles, fast computing, and most of all, this system can preserve individual privacy to some extent. Moreover, this system is with high precision, stable performance, high reliability, low cost and low power consumption. So it solves some current existing problems in human behavior recognition system.

Copyright
© 2016, 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 6th International Workshop of Advanced Manufacturing and Automation
Series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
10.2991/iwama-16.2016.48
ISSN
2352-5428
DOI
10.2991/iwama-16.2016.48How to use a DOI?
Copyright
© 2016, 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  - Liandi Gao
AU  - Shuaib Tao
AU  - Changqing Ji
AU  - Baofeng Wang
PY  - 2016/11
DA  - 2016/11
TI  - Development of Person Localization and Activities Recognition System
BT  - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 257
EP  - 260
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.48
DO  - 10.2991/iwama-16.2016.48
ID  - Gao2016/11
ER  -