Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders

Airi Tsuji; Satoru Sekine; Takuya Enomoto; Soichiro Matsuda; Jyun'ichi Yamamoto; Kenji Suzuki

doi:10.1109/ICCI-CC.2017.8109739

Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders

Airi Tsuji, Satoru Sekine, Takuya Enomoto, Soichiro Matsuda, Jyun'ichi Yamamoto, Kenji Suzuki

Department of Sociology, Psychology, Education and Human Sciences

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

Abstract

We are researching and developing dynamic interpersonal distance models and real-time recognition systems for the social development training therapy of children with autism spectrum disorders (ASD). In particular, we modeled the quantitative measurements of chasing behaviors observed during therapy. Chasing behaviors are a highly social activity because children need to predict the movement of a partner (therapist). In order to measure these behaviors, the video coding using observational method by experts is needed but it is very time consuming. We consider that establishing models for real-time automated recognition of chasing behavior supports social skills development programs for children with ASD. This study focuses on chasing behavior and presents experimental results for recognition of chasing behavior during actual therapy. The proposed system reveals that it is possible to extract tracking behaviors which closely agree with therapist observations.

Original language	English
Title of host publication	Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	115-120
Number of pages	6
ISBN (Electronic)	9781538607701
DOIs	https://doi.org/10.1109/ICCI-CC.2017.8109739
Publication status	Published - 2017 Nov 14
Event	16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 - Oxford, United Kingdom Duration: 2017 Jul 26 → 2017 Jul 28

Other

Other	16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
Country	United Kingdom
City	Oxford
Period	17/7/26 → 17/7/28

ASJC Scopus subject areas

Cognitive Neuroscience
Information Systems
Computer Science (miscellaneous)

Access to Document

10.1109/ICCI-CC.2017.8109739

Fingerprint Dive into the research topics of 'Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders'. Together they form a unique fingerprint.

Cite this

Tsuji, A., Sekine, S., Enomoto, T., Matsuda, S., Yamamoto, J., & Suzuki, K. (2017). Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders. In Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 (pp. 115-120). [8109739] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCI-CC.2017.8109739

Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders. / Tsuji, Airi; Sekine, Satoru; Enomoto, Takuya; Matsuda, Soichiro; Yamamoto, Jyun'ichi; Suzuki, Kenji.

Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 115-120 8109739.

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

Tsuji, A, Sekine, S, Enomoto, T, Matsuda, S, Yamamoto, J & Suzuki, K 2017, Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders. in Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017., 8109739, Institute of Electrical and Electronics Engineers Inc., pp. 115-120, 16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017, Oxford, United Kingdom, 17/7/26. https://doi.org/10.1109/ICCI-CC.2017.8109739

Tsuji A, Sekine S, Enomoto T, Matsuda S, Yamamoto J, Suzuki K. Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders. In Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 115-120. 8109739 https://doi.org/10.1109/ICCI-CC.2017.8109739

Tsuji, Airi ; Sekine, Satoru ; Enomoto, Takuya ; Matsuda, Soichiro ; Yamamoto, Jyun'ichi ; Suzuki, Kenji. / Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders. Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 115-120

@inproceedings{93eb6a9f68094154960f2767b6de1653,

title = "Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders",

abstract = "We are researching and developing dynamic interpersonal distance models and real-time recognition systems for the social development training therapy of children with autism spectrum disorders (ASD). In particular, we modeled the quantitative measurements of chasing behaviors observed during therapy. Chasing behaviors are a highly social activity because children need to predict the movement of a partner (therapist). In order to measure these behaviors, the video coding using observational method by experts is needed but it is very time consuming. We consider that establishing models for real-time automated recognition of chasing behavior supports social skills development programs for children with ASD. This study focuses on chasing behavior and presents experimental results for recognition of chasing behavior during actual therapy. The proposed system reveals that it is possible to extract tracking behaviors which closely agree with therapist observations.",

author = "Airi Tsuji and Satoru Sekine and Takuya Enomoto and Soichiro Matsuda and Jyun'ichi Yamamoto and Kenji Suzuki",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/ICCI-CC.2017.8109739",

language = "English",

pages = "115--120",

booktitle = "Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

}

TY - GEN

T1 - Modeling of the chasing behaviors for developmental program of children with autism spectrum disorders

AU - Tsuji, Airi

AU - Sekine, Satoru

AU - Enomoto, Takuya

AU - Matsuda, Soichiro

AU - Yamamoto, Jyun'ichi

AU - Suzuki, Kenji

PY - 2017/11/14

Y1 - 2017/11/14

N2 - We are researching and developing dynamic interpersonal distance models and real-time recognition systems for the social development training therapy of children with autism spectrum disorders (ASD). In particular, we modeled the quantitative measurements of chasing behaviors observed during therapy. Chasing behaviors are a highly social activity because children need to predict the movement of a partner (therapist). In order to measure these behaviors, the video coding using observational method by experts is needed but it is very time consuming. We consider that establishing models for real-time automated recognition of chasing behavior supports social skills development programs for children with ASD. This study focuses on chasing behavior and presents experimental results for recognition of chasing behavior during actual therapy. The proposed system reveals that it is possible to extract tracking behaviors which closely agree with therapist observations.

AB - We are researching and developing dynamic interpersonal distance models and real-time recognition systems for the social development training therapy of children with autism spectrum disorders (ASD). In particular, we modeled the quantitative measurements of chasing behaviors observed during therapy. Chasing behaviors are a highly social activity because children need to predict the movement of a partner (therapist). In order to measure these behaviors, the video coding using observational method by experts is needed but it is very time consuming. We consider that establishing models for real-time automated recognition of chasing behavior supports social skills development programs for children with ASD. This study focuses on chasing behavior and presents experimental results for recognition of chasing behavior during actual therapy. The proposed system reveals that it is possible to extract tracking behaviors which closely agree with therapist observations.

UR - http://www.scopus.com/inward/record.url?scp=85040568695&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040568695&partnerID=8YFLogxK

U2 - 10.1109/ICCI-CC.2017.8109739

DO - 10.1109/ICCI-CC.2017.8109739

M3 - Conference contribution

AN - SCOPUS:85040568695

SP - 115

EP - 120

BT - Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

Y2 - 26 July 2017 through 28 July 2017

ER -