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

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

Conference Paper (2016)

Author(s)

Laura Cabrera Quiros (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Pattern Recognition and Bioinformatics

Video Acceleration Movement Proximity Cameras Wearable sensors Human behavior analysis

DOI related publication

https://doi.org/10.1145/2968219.2971359 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:d605d2ad-0826-4c51-bfdf-dd60a687912f

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Publication Year

2016

Language

English

Research Group

Pattern Recognition and Bioinformatics

Pages (from-to)

399-404

ISBN (print)

978-1-4503-4462-3

Event

UbiComp 2016 (2016-09-12 - 2016-09-16), Heidelberg, Germany

Downloads counter

173

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).