Share Email Print

Proceedings Paper

An efficient multiplexed optical-fiber sensing method for human tracking
Author(s): Qiuju Guan; Bin Jin; Lixing Ding; Jian Liang; Junxia Shi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Today most people, especially the elderly in urban areas, spend more than 80% of their time in indoor environments, such as at home, the workplace, public and private places. Indoor human tracking is a basic task thats of high value in variety of applications, such as security system, person surveillance and human-centered ambient intelligence. Recently, optical fiber sensor has been explored for device-free human tracking, which offers a promising alternative to video or wearable sensor based paradigm, because of its advantages of data-efficient, low-computational-cost and non-intrusive in indoor environments. The challenges in building fiber-optic sensors based human tracking system are to accurately and quickly estimate human position, as well as provide acceptable efficiency performance. Motivated by these challenges, we have built a multiplexing sensing based tracking system using optical fiber sensors. To derive an accurate and efficient tracking scheme, we show that the position information of human body can be formulated as bipedal movement on the constructed grids of an indoor structured environment. The properties of spatio-temporal correlations and sparsity of the bipedal movements is then incorporated into the multiplexing sensing mechanism for efficiency enhancement. In addition, a look-up-table is applied to map the multiple measurement vector into the target position. Finally, a lab-scale prototype system is developed for indoor human tracking. The experimental results demonstrate the effectiveness of the proposed method in human tracking.

Paper Details

Date Published: 20 December 2019
PDF: 4 pages
Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 112092U (20 December 2019); doi: 10.1117/12.2548678
Show Author Affiliations
Qiuju Guan, Zhongkai Univ. of Agriculture and Engineering (China)
Bin Jin, Guangzhou Skynetworks Technology Co., Ltd. (China)
Lixing Ding, Zhongkai Univ. of Agriculture and Engineering (China)
Jian Liang, Zhongkai Univ. of Agriculture and Engineering (China)
Junxia Shi, Zhongkai Univ. of Agriculture and Engineering (China)

Published in SPIE Proceedings Vol. 11209:
Eleventh International Conference on Information Optics and Photonics (CIOP 2019)
Hannan Wang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?