Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
32nd (2018)
Session ID : 1C3-OS-8b-02
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Detecting Team Behaviors of Pedestrians in Redevelopment Areas on Acceleration Similarity
*Yukio OHSAWASae KONDOTeruaki HAYASHIAtsushi SUGAWATakahisa YOSHIDA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

Team behaviors are regarded here as an essential component of cultures and lifestyles of people engaged in businesses, sports, etc. In order to detect team behaviors, pedestrians’ similarity of the acceleration time-series is proposed as the temporal evaluation index. Here, a redevelopment area is taken as the space for experiments with acceleration sensors, and the correspondence of acceleration similarity and the pedestrians’ mutual feeling of co-walking is evaluated.

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© 2018 The Japanese Society for Artificial Intelligence
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