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S3
2018
Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI '18
Preserved Fulltext
People have become more aware about their environment and pay more attention to conditions, e.g., air quality, and UV light exposure. Conventional technologies for reading environmental conditions are expensive, bulky, situated, and do not meet people's need for a mobile and portable tool for environmental fingerprinting on demand. We present a mobile-enabled client-server system for personalized environmental fingerprinting and crowdsourced environmental fingerprint datasets using a smartphone
doi:10.1145/3236112.3236155
dblp:conf/mhci/AsareLSKVF18
fatcat:7xt36sp7vjhorcb72ehijnrkeq