Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras

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Abstract

Mingling events are scenarios where people come together to socialize, which present a high concentration of social interactions in what are called free-standing conversations groups [1]. This makes them interesting study cases for analyzing social human behavior in a natural and uncontrolled setting. Examples of such events are drink parties, networking events or conference poster sessions (see Figure 1 for examples).
Original languageEnglish
Title of host publicationUbiComp '16
Subtitle of host publicationProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
EditorsP. Lukowicz, A. Krüger
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages399-404
Number of pages6
ISBN (Print)978-1-4503-4462-3
DOIs
Publication statusPublished - 2016
EventUbiComp 2016 : ACM International Joint Conference on Pervasive and Ubiquitous Computing, - Heidelberg, Germany
Duration: 12 Sep 201616 Sep 2016

Conference

ConferenceUbiComp 2016
CountryGermany
CityHeidelberg
Period12/09/1616/09/16

Keywords

  • Wearable sensors
  • acceleration
  • video
  • cameras
  • proximity
  • human behavior analysis
  • movement

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