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Multi-Sensor Context-Aware Clothing

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

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Multi-Sensor Context-Aware Clothing. / Van Laerhoven, Kristof; Gellersen, Hans; Schmidt, Albrecht.
Sixth International Symposium on Wearable Computers (ISWC 2002). IEEE Press, 2002. p. 49-57.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Van Laerhoven, K, Gellersen, H & Schmidt, A 2002, Multi-Sensor Context-Aware Clothing. in Sixth International Symposium on Wearable Computers (ISWC 2002). IEEE Press, pp. 49-57, Sixth International Symposium on Wearable Computers (ISWC 2002), Seattle, WA, 1/01/00.

APA

Van Laerhoven, K., Gellersen, H., & Schmidt, A. (2002). Multi-Sensor Context-Aware Clothing. In Sixth International Symposium on Wearable Computers (ISWC 2002) (pp. 49-57). IEEE Press.

Vancouver

Van Laerhoven K, Gellersen H, Schmidt A. Multi-Sensor Context-Aware Clothing. In Sixth International Symposium on Wearable Computers (ISWC 2002). IEEE Press. 2002. p. 49-57

Author

Van Laerhoven, Kristof ; Gellersen, Hans ; Schmidt, Albrecht. / Multi-Sensor Context-Aware Clothing. Sixth International Symposium on Wearable Computers (ISWC 2002). IEEE Press, 2002. pp. 49-57

Bibtex

@inproceedings{c1ec0373b26948bfa19254ebb4fd29f9,
title = "Multi-Sensor Context-Aware Clothing",
abstract = "Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications. A focus on fusion of sensor signals insteadof strong analysis algorithms, and a scheme to distributesensors, results in new issues. Especially in wearablecomputing, where sensor data continuously changes, andclothing provides an ideal supporting structure forsimple sensors, this approach may prove to befavourable. Experiments with a body-distributed sensorsystem investigate the influence of two factors that affectclassification of what has been sensed: an increase insensors enhances recognition, while adding new classesor contexts depreciates the results. Finally, a wearablecomputing related scenario is discussed that exploits thepresence of many sensors.",
keywords = "cs_eprint_id, 654 cs_uid, 1",
author = "{Van Laerhoven}, Kristof and Hans Gellersen and Albrecht Schmidt",
year = "2002",
month = oct,
language = "English",
pages = "49--57",
booktitle = "Sixth International Symposium on Wearable Computers (ISWC 2002)",
publisher = "IEEE Press",
note = "Sixth International Symposium on Wearable Computers (ISWC 2002) ; Conference date: 01-01-1900",

}

RIS

TY - GEN

T1 - Multi-Sensor Context-Aware Clothing

AU - Van Laerhoven, Kristof

AU - Gellersen, Hans

AU - Schmidt, Albrecht

PY - 2002/10

Y1 - 2002/10

N2 - Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications. A focus on fusion of sensor signals insteadof strong analysis algorithms, and a scheme to distributesensors, results in new issues. Especially in wearablecomputing, where sensor data continuously changes, andclothing provides an ideal supporting structure forsimple sensors, this approach may prove to befavourable. Experiments with a body-distributed sensorsystem investigate the influence of two factors that affectclassification of what has been sensed: an increase insensors enhances recognition, while adding new classesor contexts depreciates the results. Finally, a wearablecomputing related scenario is discussed that exploits thepresence of many sensors.

AB - Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications. A focus on fusion of sensor signals insteadof strong analysis algorithms, and a scheme to distributesensors, results in new issues. Especially in wearablecomputing, where sensor data continuously changes, andclothing provides an ideal supporting structure forsimple sensors, this approach may prove to befavourable. Experiments with a body-distributed sensorsystem investigate the influence of two factors that affectclassification of what has been sensed: an increase insensors enhances recognition, while adding new classesor contexts depreciates the results. Finally, a wearablecomputing related scenario is discussed that exploits thepresence of many sensors.

KW - cs_eprint_id

KW - 654 cs_uid

KW - 1

M3 - Conference contribution/Paper

SP - 49

EP - 57

BT - Sixth International Symposium on Wearable Computers (ISWC 2002)

PB - IEEE Press

T2 - Sixth International Symposium on Wearable Computers (ISWC 2002)

Y2 - 1 January 1900

ER -