Instrumenting smartphones with portable NIRS
Klakegg, Simon; Luo, Chu; Goncalves, Jorge; Hosio, Simo; Kostakos, Vassilis (2016-09-12)
Simon Klakegg, Chu Luo, Jorge Goncalves, Simo Hosio, and Vassilis Kostakos. 2016. Instrumenting smartphones with portable NIRS. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 618-623. DOI: https://doi.org/10.1145/2968219.2971590
© Author | ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 618-623, http://dx.doi.org/10.1145/2968219.2971590. Copyright is held by the owner/author(s). Publication rights licensed to ACM. Published in this repository with the kind permission of the publisher.
In this paper we propose a mobile sensing solution that uses Near Infrared Spectroscopy (NIRS) and discuss its potential in future everyday use cases. The proposed design enables novice end users to classify various objects using NIRS and without prior knowledge of the technology itself. We describe how an instrument that traditionally has been used solely by trained lab personnel, can be commoditized to be used by any end user with a mobile device. The preliminary results indicate that samples can be identified with high accuracy, but that a series of implementation and design challenges must be first accounted for.
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