research-article

Room exit recognition using mobile accelerometers and illuminometers

Authors:

Tatsuya Isoda,

Sozo Inoue,

Shuji Kutsuna,

Masato KawanoAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 731 - 735

https://doi.org/10.1145/2638728.2641298

Published: 13 September 2014 Publication History

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Abstract

At present, office entrances and exits are controlled mainly using RFID tags, such as employee ID cards or admission cards. When using an RFID tag, the card reader is placed at the entrance and recognition only occurs when entering the room in most cases. Thus, the information required to enter is only recognized during entry but not when leaving. In this paper, we propose a method for exit recognition that uses an illuminometer and an accelerometer embedded in a mobile sensor, which assesses the changes in the illuminance and acceleration data for subjects. We analyze the walking data obtained from the feature values of the acceleration data and the exit data derived from the feature values of the illuminance. We found that this method achieves 87.60% of accuracy for exit recognition.

References

[1]

Yuichi Hattori, Sozo Inoue, Go Hirakawa, Osamu Sudo. "Gathering Large Scale Human Activity Information Using Mobile Sensor Devices ", International Workshop on Network Traffic Control, Analysis and Applications (NTCAA-2010), pp.708--713, Fukuoka, Japan, 2010.

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[2]

Yasunobu, Nohara, Sozo Inoue, Naoki Nakashima, Naonori Ueda, Y Kitsuregawa, "A Large-scale Sensor Dataset in a Hospital ", International Workshop on Pattern Recognition for Healthcare Analytics, 4pages, November 11, 2012, Tsukuba.

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[3]

Naya Futoshi, Ren Ohmura, Haruo Noma, Kiyoshi Kogure, "Workflow Measurement and Analysis with Wireless Sensor Network Systems ", Informatio Processing Society of Japan, (2009)

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[4]

Naoto Migita, Yuichi Hattori, Syota Tanaka, Sozo Inoue, "Development and Evaluation of Behavioral Similarity Evaluation System MimicMotion Using Acceleration Data and Video", Multimedia, Distributed, Cooperative, and Mobile Symposium.1207--1216, July 10, 2013, Tokachi, Hokkaido.

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Chih-Chung Chang, Chih-Jen Lin, "LIBSVM-A Library for Support Vector Machines" http://www.csie.ntu.edu.tw/cjlin/libsvm/

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Cited By

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Taniguchi SHangli GHamada TMichikata TKoshizuka N(2022)Detecting Door Operations Using Wearable Devices2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)10.1109/GCCE56475.2022.10014368(172-176)Online publication date: 18-Oct-2022
https://doi.org/10.1109/GCCE56475.2022.10014368

Index Terms

Room exit recognition using mobile accelerometers and illuminometers
1. Computing methodologies
  1. Symbolic and algebraic manipulation
    1. Symbolic and algebraic algorithms

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Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

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UbiComp '14

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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Taniguchi SHangli GHamada TMichikata TKoshizuka N(2022)Detecting Door Operations Using Wearable Devices2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)10.1109/GCCE56475.2022.10014368(172-176)Online publication date: 18-Oct-2022
https://doi.org/10.1109/GCCE56475.2022.10014368

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Analyzing the Transfemoral Amputee Gait using Inertial Sensors

A Simulation Study of Exit Choice Based on Effective Throughput of an Exit Area in a Multi-exit Evacuation Situation

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