Clothing classification with smart phones
Authors: 
Huy Tran, Thanh DangAuthors Info & Claims
Huy Tran, Thanh DangAuthors Info & ClaimsPages 231 - 236
Abstract
Human thermal comfort is significantly dependent on thermal insulation of clothing [3]. Therefore, classifying types of clothing a user is wearing plays an important role in enhancing human thermal comfort. In our work, we investigated different combinations of feature extraction methods and machine learning algorithms for clothing classification. We conducted our study using temperature and humidity data collected from smartphones in various contexts (inside and outside a pocket) and with different clothing types. We found that using six largest coefficients returned from Discrete Wavelet Transform with Support Vector Machines learning algorithm, we can achieve an accuracy of up to 0:71.
References
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American Society of Heating, R., Engineers, A.-C., Kuehn, T., and Coleman, J. 2005 ASHRAE Handbook: Fundamentals. ASHRAE HANDBOOK FUNDAMENTALS INCH-POUND SYSTEM. ASHRAE, 2005.
[2]
Harrison, C., and Hudson, S. E. Lightweight material detection for placement-aware mobile computing. In Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology, UIST '08, ACM (2008), 279--282.
[3]
Health, and Executive, S. The six basic factors. http://www.hse.gov.uk/temperature/thermal/factors.htm.
[4]
Mörchen, F. Time series feature extraction for data mining using dwt and dft, 2003.
[5]
Wikipedia. Thermal manikin. http://en.wikipedia.org/wiki/thermal_manikin.
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Willimon, B., Birchfield, S., and Walker, I. Classification of clothing using interactive perception. In Robotics and Automation (ICRA), 2011 IEEE International Conference on (May 2011), 1862--1868.
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Willimon, B., Walker, I., and Birchfield, S. A new approach to clothing classification using mid-level layers. In Robotics and Automation (ICRA), 2013 IEEE International Conference on, IEEE (2013), 4271--4278.
Index Terms
- Clothing classification with smart phones
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Information & Contributors
Information
Published In
September 2014
271 pages
ISBN:9781450330480
DOI:10.1145/2641248
- General Chair:
- Lucy Dunne,
- Program Chairs:
- Tom Martin,
- Michael Beigl
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 13 September 2014
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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
September 13 - 17, 2014
Washington, Seattle
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Overall Acceptance Rate 38 of 196 submissions, 19%
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