Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network

被引:0
|
作者
Tao, Shuai [1 ]
Kudo, Mineichi [1 ]
Nonaka, Hidetoshi [1 ]
Toyama, Jun [1 ]
机构
[1] Hokkaido Univ, Div Comp Sci, Sapporo, Hokkaido 060, Japan
来源
COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2 | 2011年 / 6855卷
关键词
localization; soft authentication; sensor network; infrared sensors;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Person localization and identification are indispensable to provide various personalized services in an intelligent environment. We propose a novel method for person localization and developed a system for identifying up to ten persons in an office room to realize soft authentication. Our system consists of forty-three infrared ceiling sensors with low cost and easy installation. In experiments, the average distance error of person localization was 31.6cm that is an acceptable error for sensors with 1.5m distance to each other. We also confirmed that walking path and speed gives sufficient information for authenticating the user. Through the experiments, we obtained the correct recognition rates of 98%, 95% and 86% for any pair, any three people and all ten people to identify individuals.
引用
收藏
页码:122 / 129
页数:8
相关论文
共 50 条
  • [1] Soft authentication using an infrared ceiling sensor network
    T. Hosokawa
    M. Kudo
    H. Nonaka
    J. Toyama
    Pattern Analysis and Applications, 2009, 12 : 237 - 249
  • [2] Soft authentication using an infrared ceiling sensor network
    Hosokawa, T.
    Kudo, M.
    Nonaka, H.
    Toyama, J.
    PATTERN ANALYSIS AND APPLICATIONS, 2009, 12 (03) : 237 - 249
  • [3] CEILING SENSOR NETWORK FOR SOFT AUTHENTICATION AND PERSON TRACKING USING EQUILIBRIUM LINE
    Nonaka, Hidetoshi
    Tao, Shuai
    Toyama, Jun
    Kudo, Mineichi
    PECCS 2011: PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON PERVASIVE AND EMBEDDED COMPUTING AND COMMUNICATION SYSTEMS, 2011, : 218 - 223
  • [4] Person Authentication and Activities Analysis in an Office Environment Using a Sensor Network
    Tao, Shuai
    Kudo, Mineichi
    Nonaka, Hidetoshi
    Toyama, Jun
    CONSTRUCTURING AMBIENT INTELLIGENCE, 2012, 277 : 119 - 127
  • [5] Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network
    Tao, Shuai
    Kudo, Mineichi
    Pei, Bing-Nan
    Nonaka, Hidetoshi
    Toyama, Jun
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2015, 45 (05) : 550 - 561
  • [6] Privacy-Preserved Behavior Analysis and Fall Detection by an Infrared Ceiling Sensor Network
    Tao, Shuai
    Kudo, Mineichi
    Nonaka, Hidetoshi
    SENSORS, 2012, 12 (12): : 16920 - 16936
  • [7] Sensor Network Localization Using Sensor Perturbation
    Zhu, Yuanchen
    Gortler, Steven J.
    Thurston, Dylan
    ACM TRANSACTIONS ON SENSOR NETWORKS, 2011, 7 (04)
  • [8] Sensor network localization using kernel spectral regression
    Wang, Chengqun
    Chen, Jiming
    Sun, Youxian
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2010, 10 (08) : 1045 - 1054
  • [9] Multi-Source Localization Using Linear DoA Sensor Network
    Lim, Hyoungsoo
    Sin, Cheon Sig
    2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 753 - 755
  • [10] Localization in wireless sensor networks using soft computing approach
    Singh S.K.
    Kumar P.
    Singh J.P.
    International Journal of Information Security and Privacy, 2017, 11 (03) : 42 - 53