Title
Person localization and soft authentication using an infrared ceiling sensor network
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-23678-5_13
CAIP (2)
Keywords
Field
DocType
easy installation,novel method,infrared ceiling sensor network,office room,forty-three infrared ceiling sensor,low cost,soft authentication,intelligent environment,acceptable error,person localization,average distance error,correct recognition rate
Intelligent environment,Computer vision,Authentication,Computer science,Ceiling (aeronautics),Artificial intelligence,Wireless sensor network
Conference
Volume
ISSN
Citations 
6855
0302-9743
4
PageRank 
References 
Authors
0.49
7
4
Name
Order
Citations
PageRank
Shuai Tao1263.32
Mineichi Kudo2927116.09
Hidetoshi Nonaka38512.18
Jun Toyama413019.87