research-article

Fuzzy Features for Quality Estimation of Activity Instances in a Dataset

Authors:

Cédric Demongivert,

Kévin Bouchard,

Sébastien Gaboury,

Maxime Lussier,

Hubert Kenfack-Ngankam,

Mélanie Couture,

Sylvain GirouxAuthors Info & Claims

GoodTechs '20: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

Pages 54 - 59

https://doi.org/10.1145/3411170.3411235

Published: 14 September 2020 Publication History

Abstract

Activity recognition in smart homes is a challenging problem that attracted a lot of attention in the past decades. Most approaches nowadays rely on data-driven methods from artificial intelligence, especially from the field of supervised machine learning. Therefore, those approaches heavily depend on the quality of the datasets they exploit. In this paper, we propose a generalizable method based upon fuzzy logic to estimate and diagnostic the quality of each activity instance of an existing dataset. We then apply it to a labeled dataset of the CASAS laboratory and analyze the results.

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Digital Library

Cited By

Demongivert CBouchard KGaboury SLussier MKenfack-Ngankam HCouture MBier NGiroux S(2021)Handling of Labeling Uncertainty in Smart Homes using Generalizable Fuzzy FeaturesProceedings of the Conference on Information Technology for Social Good10.1145/3462203.3475909(248-253)Online publication date: 9-Sep-2021
https://dl.acm.org/doi/10.1145/3462203.3475909

Index Terms

Fuzzy Features for Quality Estimation of Activity Instances in a Dataset
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Activity recognition and understanding
    2. Knowledge representation and reasoning
      1. Vagueness and fuzzy logic

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cover image ACM Other conferences

GoodTechs '20: Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

September 2020

286 pages

ISBN:9781450375597

DOI:10.1145/3411170

General Chairs:
Catia Prandi
University of Bologna, Italy
,
Johann Marquez-Barja
University of Antwerp - imec, Belgium

Copyright © 2020 ACM.

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Published: 14 September 2020

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GoodTechs '20

GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good

September 14 - 16, 2020

Antwerp, Belgium

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Cited By

Demongivert CBouchard KGaboury SLussier MKenfack-Ngankam HCouture MBier NGiroux S(2021)Handling of Labeling Uncertainty in Smart Homes using Generalizable Fuzzy FeaturesProceedings of the Conference on Information Technology for Social Good10.1145/3462203.3475909(248-253)Online publication date: 9-Sep-2021
https://dl.acm.org/doi/10.1145/3462203.3475909

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