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What Shall We Teach our Pants?

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Published

Standard

What Shall We Teach our Pants? / Van Laerhoven, Kristof; Cakmakci, Ozan.

2000. Paper presented at Fourth International Symposium on Wearable Computers (ISWC 2000), .

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Van Laerhoven, K & Cakmakci, O 2000, 'What Shall We Teach our Pants?', Paper presented at Fourth International Symposium on Wearable Computers (ISWC 2000), 1/01/00.

APA

Van Laerhoven, K., & Cakmakci, O. (2000). What Shall We Teach our Pants?. Paper presented at Fourth International Symposium on Wearable Computers (ISWC 2000), .

Vancouver

Van Laerhoven K, Cakmakci O. What Shall We Teach our Pants?. 2000. Paper presented at Fourth International Symposium on Wearable Computers (ISWC 2000), .

Author

Van Laerhoven, Kristof ; Cakmakci, Ozan. / What Shall We Teach our Pants?. Paper presented at Fourth International Symposium on Wearable Computers (ISWC 2000), .

Bibtex

@conference{4f726320f9444c519840112b7600836e,
title = "What Shall We Teach our Pants?",
abstract = "If a wearable device can register what the wearer is currently doing, it can anticipate and adjust its behavior to avoid redundant interaction with the user. However, the relevance and properties of the activities that should be recognized depend on both the application and the user. This requires an adaptive recognition of the activities where the user, instead of the designer, can teach the device what he/she is doing. As a case study, we connected a pair of pants with accelerometers to a laptop to interpret the raw sensor data. Using a combination of machine learning techniques such as Kohonen maps and probabilistic models, we build a system that is able to learn activities while requiring minimal user attention.",
keywords = "cs_eprint_id, 251 cs_uid, 1",
author = "{Van Laerhoven}, Kristof and Ozan Cakmakci",
year = "2000",
month = jan,
language = "English",
note = "Fourth International Symposium on Wearable Computers (ISWC 2000) ; Conference date: 01-01-1900",

}

RIS

TY - CONF

T1 - What Shall We Teach our Pants?

AU - Van Laerhoven, Kristof

AU - Cakmakci, Ozan

PY - 2000/1

Y1 - 2000/1

N2 - If a wearable device can register what the wearer is currently doing, it can anticipate and adjust its behavior to avoid redundant interaction with the user. However, the relevance and properties of the activities that should be recognized depend on both the application and the user. This requires an adaptive recognition of the activities where the user, instead of the designer, can teach the device what he/she is doing. As a case study, we connected a pair of pants with accelerometers to a laptop to interpret the raw sensor data. Using a combination of machine learning techniques such as Kohonen maps and probabilistic models, we build a system that is able to learn activities while requiring minimal user attention.

AB - If a wearable device can register what the wearer is currently doing, it can anticipate and adjust its behavior to avoid redundant interaction with the user. However, the relevance and properties of the activities that should be recognized depend on both the application and the user. This requires an adaptive recognition of the activities where the user, instead of the designer, can teach the device what he/she is doing. As a case study, we connected a pair of pants with accelerometers to a laptop to interpret the raw sensor data. Using a combination of machine learning techniques such as Kohonen maps and probabilistic models, we build a system that is able to learn activities while requiring minimal user attention.

KW - cs_eprint_id

KW - 251 cs_uid

KW - 1

M3 - Conference paper

T2 - Fourth International Symposium on Wearable Computers (ISWC 2000)

Y2 - 1 January 1900

ER -