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Improving the accuracy of wearable activity classifiers

Published: 07 September 2015 Publication History

Abstract

Providing context awareness in wearables helps the user be more efficient in his tasks while being interrupted by the wearable device only when it is needed. In this work, we focus on one important aspect of context awareness in wearables which is activity classification. First, a wearable activity classifier is improved and applied to a medical application. Afterwards, more techniques are proposed that can be used to improve the results' accuracy of any activity classifier. Future research aims to incorporate more context awareness domains that can interact with and help wearable activity classifiers.

References

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Cited By

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  • (2019)Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ PerformanceSensors10.3390/s1908190419:8(1904)Online publication date: 22-Apr-2019

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cover image ACM Conferences
UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
September 2015
1626 pages
ISBN:9781450335751
DOI:10.1145/2800835
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Author Tags

  1. activity classification
  2. ambulatory monitoring
  3. context awareness
  4. hidden markov model

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  • Research-article

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UbiComp '15
Sponsor:
  • Yahoo! Japan
  • SIGMOBILE
  • FX Palo Alto Laboratory, Inc.
  • ACM
  • Rakuten Institute of Technology
  • Microsoft
  • Bell Labs
  • SIGCHI
  • Panasonic
  • Telefónica
  • ISTC-PC

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2019)Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ PerformanceSensors10.3390/s1908190419:8(1904)Online publication date: 22-Apr-2019

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