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  • PerDis_17_paper_20

    Rights statement: © ACM, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in PerDis '17 Proceedings of the 6th ACM International Symposium on Pervasive Displays http://dx.doi.org/10.1145/3078810.3078823

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Audience monitor: an open source tool for tracking audience mobility in front of pervasive displays

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Abstract

Understanding an audience's behavior is an important aspect of evaluating display installations. In particular, it is important to understand how people move around in the vicinity of displays, including viewer transitions from noticing a display, through approach, to final use of the display. Despite the importance of measuring viewer mobility patterns, there are still relatively few low-cost tools that can be used with research display deployments to capture detailed spatial and temporal behavior of an audience. In this paper, we present an approach to audience monitoring that uses an off-the-shelf depth sensor and open source computer vision algorithms to monitor the space in front of a digital display, tracking presence and movements of both passers-by and display users. We believe that our approach can help display researchers evaluate their public display deployments and improve the level of quantitative data underpinning our field.

Bibliographic note

© ACM, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in PerDis '17 Proceedings of the 6th ACM International Symposium on Pervasive Displays http://dx.doi.org/10.1145/3078810.3078823