Poster Abstract: Low-Cost, Perspective Invariant and Personalized Thermal Comfort Estimation

被引：0
|
作者：
Wei, Peter [1 ]
Liu, Yanchen [1 ]
Jiang, Xiaofan [1 ]
机构：
[1] Columbia Univ, New York, NY 10027 USA
来源：
IPSN'21: PROCEEDINGS OF THE 20TH ACM/IEEE CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS | 2021年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1145/3412382.3458781
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this poster abstract, we present a thermal comfort estimation system using low-cost thermal camera based sensor nodes. This system extracts perspective invariant, non-intrusive thermal measurements, is easily deployable and low-cost, and can incorporate individual thermal feedback for more personalized thermal comfort estimates. In comparison with baseline methods, our system is able to improve thermal comfort estimates on the ASHRAE 7-point thermal sensation scale by up to 64% over baseline methods.
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页码：396 / 397
页数：2
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