SiCILIA: a smart sensor system for clothing insulation inference using heat exchange
Pages 392 - 393
Abstract
We present SiCILIA, a hardware platform that exploits the physical and environmental variables of an individual's thermal environment to infer the amount of clothing insulation and thermal sensation without intervention or feedback. In this demo, we present the inference algorithms that build upon theories of body heat transfer. Using a single Micro-controller (an Arduino Uno), a dual-axis motor, an IR sensor, and an Ultrasonic Range Finder (URF) we will demonstrate SiCILIA's capability of inferring an individual's clothing insulation level correctly and effectively.
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- SiCILIA: a smart sensor system for clothing insulation inference using heat exchange
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Information
Published In
April 2015
430 pages
ISBN:9781450334754
DOI:10.1145/2737095
- General Chair:
- Suman Nath,
- Program Chairs:
- Bhaskar Krishnamachari,
- Anthony Rowe
Copyright © 2015 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.
Sponsors
- IEEE-SPS: Signal Processing Society
- IEEE
- IEEE-CSS: Control Systems Society
- ACM: Association for Computing Machinery
- SIGBED: ACM Special Interest Group on Embedded Systems
- IEEE-CS IRTS: IEEE CS Internet, Real Time Systems
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 April 2015
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- Demonstration
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IPSN '15: The 14th International Conference on Information Processing in Sensor Networks
April 13 - 16, 2015
Washington, Seattle
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Overall Acceptance Rate 143 of 593 submissions, 24%
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