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

Laura Cabrera Quiros

doi:10.1145/2968219.2971359

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

Pattern Recognition and Bioinformatics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	UbiComp '16
Subtitle of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Editors	P. Lukowicz, A. Krüger
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	399-404
Number of pages	6
ISBN (Print)	978-1-4503-4462-3
DOIs	https://doi.org/10.1145/2968219.2971359
Publication status	Published - 2016
Event	UbiComp 2016 : ACM International Joint Conference on Pervasive and Ubiquitous Computing, - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	UbiComp 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16

Keywords

Wearable sensors
acceleration
video
cameras
proximity
human behavior analysis
movement

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10.1145/2968219.2971359

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Cabrera Quiros, L. (2016). Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras. In P. Lukowicz, & A. Krüger (Eds.), UbiComp '16 : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 399-404). Association for Computing Machinery (ACM). https://doi.org/10.1145/2968219.2971359

Cabrera Quiros, Laura. / Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras. UbiComp '16 : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. editor / P. Lukowicz ; A. Krüger . New York : Association for Computing Machinery (ACM), 2016. pp. 399-404

@inproceedings{d605d2ad08264c51bfdfdd60a687912f,

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

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).",

keywords = "Wearable sensors, acceleration, video, cameras, proximity, human behavior analysis, movement",

author = "{Cabrera Quiros}, Laura",

year = "2016",

doi = "10.1145/2968219.2971359",

language = "English",

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pages = "399--404",

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booktitle = "UbiComp '16",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "UbiComp 2016 : ACM International Joint Conference on Pervasive and Ubiquitous Computing, ; Conference date: 12-09-2016 Through 16-09-2016",

}

Cabrera Quiros, L 2016, Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras. in P Lukowicz & A Krüger (eds), UbiComp '16 : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery (ACM), New York, pp. 399-404, UbiComp 2016 , Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2968219.2971359

Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras. / Cabrera Quiros, Laura.
UbiComp '16 : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ed. / P. Lukowicz; A. Krüger . New York: Association for Computing Machinery (ACM), 2016. p. 399-404.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Cabrera Quiros, Laura

PY - 2016

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N2 - 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).

AB - 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).

KW - Wearable sensors

KW - acceleration

KW - video

KW - cameras

KW - proximity

KW - human behavior analysis

KW - movement

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DO - 10.1145/2968219.2971359

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BT - UbiComp '16

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PB - Association for Computing Machinery (ACM)

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Cabrera Quiros L. Towards multimodal analysis of human behavior in crowded mingling scenarios using movement cues from wearable sensors and cameras. In Lukowicz P, Krüger A, editors, UbiComp '16 : Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York: Association for Computing Machinery (ACM). 2016. p. 399-404 doi: 10.1145/2968219.2971359

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

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