[Paper] Automatic Collection of Dual-task Human Behavior for Analysis of Cognitive Function

• Okura Fumio

  Osaka University

• Mitsugami Ikuhisa

  Hiroshima City University

• Niwa Masataka

  Osaka University

• Aoki Kota

  Osaka University

• Zhou Chengju

  Osaka University

• Yagi Yasushi

  Osaka University

抄録

The performance of dual task, simultaneously performing two tasks, is a useful measure of a person's cognitive abilities because it creates a heavier load on the brain than single tasks. Large-scale datasets of dual-task behavior are required to quantitatively analyze the relationships among dual-task performance, cognitive functions, and personal attributes such as age. We present an automatic data collection system for dual-task behavior that can be installed in public spaces without an operator in attendance. The system is designed as an entertainment kiosk to attract participants. We used the system to collect a large-scale dataset consisting of more than 70,000 sessions of dual-task behavior, in conjunction with a long-running exhibition in a science museum. The resultant dataset, which includes sensor data such as RGB-D image sequences, can be used for learning- and vision-based investigations of human cognitive functions.

収録刊行物

• 映像情報メディア学会英語論文誌

  映像情報メディア学会英語論文誌 6 (2), 138-150, 2018

  一般社団法人 映像情報メディア学会

キーワード

• data collection
• dual task
• cognitive impairment
• gait analysis

詳細情報

• CRID: 1390282680401060736
• NII論文ID: 130006603032
• DOI: 10.3169/mta.6.138
• ISSN: 21867364
• Web Site: https://www.jstage.jst.go.jp/article/mta/6/2/6_138/_pdf
• 本文言語コード: en
• データソース種別:
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