Activity recognition for children using self-organizing map

Satoshi Suzuki; Yasue Mitsukura; Hiroshi Igarashi; Harumi Kobayashi; Fumio Harashima

doi:10.1109/ROMAN.2012.6343825

Activity recognition for children using self-organizing map

Satoshi Suzuki, Yasue Mitsukura, Hiroshi Igarashi, Harumi Kobayashi, Fumio Harashima

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Citations (Scopus)

Abstract

Based on a new concept of Kinder-GuaRdian which aims to realize a support system for kindergarten's staffs and parents by watching over children's activity and their growing process, activity recognition (AR) for children is treated in this paper. In case of children, smaller amount of sensors is better since easy fitting of the sensor device to child's body is strongly preferable. In this study, using one acceleration sensor attached to the upper arm, AR in cases of adults and children were evaluated using several orthodox classifiers and self-organizing map (SOM). Through the several types of validation, effectiveness, issues, and benefits of their methods are discussed.

Original language	English
Title of host publication	2012 IEEE RO-MAN
Subtitle of host publication	The 21st IEEE International Symposium on Robot and Human Interactive Communication
Pages	653-658
Number of pages	6
DOIs	https://doi.org/10.1109/ROMAN.2012.6343825
Publication status	Published - 2012
Externally published	Yes
Event	2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France Duration: 2012 Sept 9 → 2012 Sept 13

Publication series

Name	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other	2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
Country/Territory	France
City	Paris
Period	12/9/9 → 12/9/13

ASJC Scopus subject areas

Software
Artificial Intelligence
Human-Computer Interaction

Access to Document

10.1109/ROMAN.2012.6343825

Cite this

Suzuki, S., Mitsukura, Y., Igarashi, H., Kobayashi, H., & Harashima, F. (2012). Activity recognition for children using self-organizing map. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 653-658). Article 6343825 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2012.6343825

Activity recognition for children using self-organizing map. / Suzuki, Satoshi; Mitsukura, Yasue; Igarashi, Hiroshi et al.
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. 2012. p. 653-658 6343825 (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Suzuki, S, Mitsukura, Y, Igarashi, H, Kobayashi, H & Harashima, F 2012, Activity recognition for children using self-organizing map. in 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication., 6343825, Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, pp. 653-658, 2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012, Paris, France, 12/9/9. https://doi.org/10.1109/ROMAN.2012.6343825

Suzuki S, Mitsukura Y, Igarashi H, Kobayashi H, Harashima F. Activity recognition for children using self-organizing map. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. 2012. p. 653-658. 6343825. (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). doi: 10.1109/ROMAN.2012.6343825

@inproceedings{14e4efae508c4ba8b39978d7433ae074,

title = "Activity recognition for children using self-organizing map",

abstract = "Based on a new concept of Kinder-GuaRdian which aims to realize a support system for kindergarten's staffs and parents by watching over children's activity and their growing process, activity recognition (AR) for children is treated in this paper. In case of children, smaller amount of sensors is better since easy fitting of the sensor device to child's body is strongly preferable. In this study, using one acceleration sensor attached to the upper arm, AR in cases of adults and children were evaluated using several orthodox classifiers and self-organizing map (SOM). Through the several types of validation, effectiveness, issues, and benefits of their methods are discussed.",

author = "Satoshi Suzuki and Yasue Mitsukura and Hiroshi Igarashi and Harumi Kobayashi and Fumio Harashima",

year = "2012",

doi = "10.1109/ROMAN.2012.6343825",

language = "English",

isbn = "9781467346054",

series = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

pages = "653--658",

booktitle = "2012 IEEE RO-MAN",

note = "2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 ; Conference date: 09-09-2012 Through 13-09-2012",

}

TY - GEN

T1 - Activity recognition for children using self-organizing map

AU - Suzuki, Satoshi

AU - Mitsukura, Yasue

AU - Igarashi, Hiroshi

AU - Kobayashi, Harumi

AU - Harashima, Fumio

PY - 2012

Y1 - 2012

N2 - Based on a new concept of Kinder-GuaRdian which aims to realize a support system for kindergarten's staffs and parents by watching over children's activity and their growing process, activity recognition (AR) for children is treated in this paper. In case of children, smaller amount of sensors is better since easy fitting of the sensor device to child's body is strongly preferable. In this study, using one acceleration sensor attached to the upper arm, AR in cases of adults and children were evaluated using several orthodox classifiers and self-organizing map (SOM). Through the several types of validation, effectiveness, issues, and benefits of their methods are discussed.

AB - Based on a new concept of Kinder-GuaRdian which aims to realize a support system for kindergarten's staffs and parents by watching over children's activity and their growing process, activity recognition (AR) for children is treated in this paper. In case of children, smaller amount of sensors is better since easy fitting of the sensor device to child's body is strongly preferable. In this study, using one acceleration sensor attached to the upper arm, AR in cases of adults and children were evaluated using several orthodox classifiers and self-organizing map (SOM). Through the several types of validation, effectiveness, issues, and benefits of their methods are discussed.

UR - http://www.scopus.com/inward/record.url?scp=84870822251&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870822251&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2012.6343825

DO - 10.1109/ROMAN.2012.6343825

M3 - Conference contribution

AN - SCOPUS:84870822251

SN - 9781467346054

T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

SP - 653

EP - 658

BT - 2012 IEEE RO-MAN

T2 - 2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012

Y2 - 9 September 2012 through 13 September 2012

ER -

Activity recognition for children using self-organizing map

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this