Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone

Toshiki Iso, Kenichi Yamazaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract "personal user context" such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].

Original languageEnglish
Title of host publicationSIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings
Pages224-231
Number of pages8
Publication statusPublished - 2006
Externally publishedYes
EventInternational Conference on Signal Processing and Multimedia Applications, SIGMAP 2006 - Setubal
Duration: 2006 Aug 72006 Aug 10

Other

OtherInternational Conference on Signal Processing and Multimedia Applications, SIGMAP 2006
CitySetubal
Period06/8/706/8/10

Fingerprint

Sensors
Stairs
Health care
Accelerometers
Decomposition
Experiments

Keywords

  • Accelerometer
  • Cell phone
  • Context extraction
  • Kohonen self-organizing map
  • Sensors
  • Ubiquitous service
  • Wavelet packet

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Cite this

Iso, T., & Yamazaki, K. (2006). Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone. In SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings (pp. 224-231)

Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone. / Iso, Toshiki; Yamazaki, Kenichi.

SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings. 2006. p. 224-231.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Iso, T & Yamazaki, K 2006, Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone. in SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings. pp. 224-231, International Conference on Signal Processing and Multimedia Applications, SIGMAP 2006, Setubal, 06/8/7.
Iso T, Yamazaki K. Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone. In SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings. 2006. p. 224-231
Iso, Toshiki ; Yamazaki, Kenichi. / Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone. SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings. 2006. pp. 224-231
@inproceedings{43a535939dc6453ca9ce3b298f425fac,
title = "Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone",
abstract = "To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract {"}personal user context{"} such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[{\%}].",
keywords = "Accelerometer, Cell phone, Context extraction, Kohonen self-organizing map, Sensors, Ubiquitous service, Wavelet packet",
author = "Toshiki Iso and Kenichi Yamazaki",
year = "2006",
language = "English",
isbn = "9728865643",
pages = "224--231",
booktitle = "SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings",

}

TY - GEN

T1 - Extracting personal user context with a three-axis sensor mounted on a freely carried cell phone

AU - Iso, Toshiki

AU - Yamazaki, Kenichi

PY - 2006

Y1 - 2006

N2 - To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract "personal user context" such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].

AB - To realize ubiquitous services such as presence services and health care services, we propose an algorithm to extract "personal user context" such as user's behavior; it processes information gathered by a three-axis accelerometer mounted on a cell phone. Our algorithm has two main functions; one is to extract feature vectors by analyzing sensor data in detail by wavelet packet decomposition. The other is to flexibly cluster personal user context by combining a self-organizing algorithm with Bayesian theory. A prototype that implements the algorithm is constructed. Experiments on the prototype show that the algorithm can identify personal user contexts such as walking, running, going up/down stairs, and walking fast with an accuracy of about 88[%].

KW - Accelerometer

KW - Cell phone

KW - Context extraction

KW - Kohonen self-organizing map

KW - Sensors

KW - Ubiquitous service

KW - Wavelet packet

UR - http://www.scopus.com/inward/record.url?scp=77954125082&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954125082&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9728865643

SN - 9789728865641

SP - 224

EP - 231

BT - SIGMAP 2006 - International Conference on Signal Processing and Multimedia Applications, Proceedings

ER -