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Context Awareness in Systems with Limited Resources

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Standard

Context Awareness in Systems with Limited Resources. / Van Laerhoven, Kristof; Gellersen, Hans; Cakmakci, Ozan et al.
2002. Paper presented at Third Workshop on Artificial Intelligence in Mobile Systems (AIMS).

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Van Laerhoven, K, Gellersen, H, Cakmakci, O & Coutaz, J 2002, 'Context Awareness in Systems with Limited Resources', Paper presented at Third Workshop on Artificial Intelligence in Mobile Systems (AIMS), 1/01/00.

APA

Van Laerhoven, K., Gellersen, H., Cakmakci, O., & Coutaz, J. (2002). Context Awareness in Systems with Limited Resources. Paper presented at Third Workshop on Artificial Intelligence in Mobile Systems (AIMS).

Vancouver

Van Laerhoven K, Gellersen H, Cakmakci O, Coutaz J. Context Awareness in Systems with Limited Resources. 2002. Paper presented at Third Workshop on Artificial Intelligence in Mobile Systems (AIMS).

Author

Van Laerhoven, Kristof ; Gellersen, Hans ; Cakmakci, Ozan et al. / Context Awareness in Systems with Limited Resources. Paper presented at Third Workshop on Artificial Intelligence in Mobile Systems (AIMS).

Bibtex

@conference{93cd5ff715674a18b60af3cf7f110b29,
title = "Context Awareness in Systems with Limited Resources",
abstract = "Mobile embedded systems often have strong limitations regarding available resources. In this paper we propose a statistical approach which could scale down to microcontrollers with scarce resources, to model simple contexts based on raw sensor data. As a case study, two experiments are provided where statistical modeling techniques were applied to learn and recognize different contexts, based on accelerometer data. We furthermore point out applications that utilize contextual information for power savings in mobile embedded systems.",
keywords = "cs_eprint_id, 627 cs_uid, 1",
author = "{Van Laerhoven}, Kristof and Hans Gellersen and Ozan Cakmakci and Joelle Coutaz",
year = "2002",
month = jul,
language = "English",
note = "Third Workshop on Artificial Intelligence in Mobile Systems (AIMS) ; Conference date: 01-01-1900",

}

RIS

TY - CONF

T1 - Context Awareness in Systems with Limited Resources

AU - Van Laerhoven, Kristof

AU - Gellersen, Hans

AU - Cakmakci, Ozan

AU - Coutaz, Joelle

PY - 2002/7

Y1 - 2002/7

N2 - Mobile embedded systems often have strong limitations regarding available resources. In this paper we propose a statistical approach which could scale down to microcontrollers with scarce resources, to model simple contexts based on raw sensor data. As a case study, two experiments are provided where statistical modeling techniques were applied to learn and recognize different contexts, based on accelerometer data. We furthermore point out applications that utilize contextual information for power savings in mobile embedded systems.

AB - Mobile embedded systems often have strong limitations regarding available resources. In this paper we propose a statistical approach which could scale down to microcontrollers with scarce resources, to model simple contexts based on raw sensor data. As a case study, two experiments are provided where statistical modeling techniques were applied to learn and recognize different contexts, based on accelerometer data. We furthermore point out applications that utilize contextual information for power savings in mobile embedded systems.

KW - cs_eprint_id

KW - 627 cs_uid

KW - 1

M3 - Conference paper

T2 - Third Workshop on Artificial Intelligence in Mobile Systems (AIMS)

Y2 - 1 January 1900

ER -