Files in this item
SpeCam: sensing surface color and material with the front-facing camera of mobile device
Item metadata
dc.contributor.author | Yeo, Hui Shyong | |
dc.contributor.author | Lee, Juyoung | |
dc.contributor.author | Bianchi, Andrea | |
dc.contributor.author | Harris-Birtill, David | |
dc.contributor.author | Quigley, Aaron John | |
dc.date.accessioned | 2017-09-07T15:30:14Z | |
dc.date.available | 2017-09-07T15:30:14Z | |
dc.date.issued | 2017-09-04 | |
dc.identifier | 249811373 | |
dc.identifier | c2655f98-d0fc-42c5-a388-83f8e03318be | |
dc.identifier | 85030314517 | |
dc.identifier | 000426571300025 | |
dc.identifier.citation | Yeo , H S , Lee , J , Bianchi , A , Harris-Birtill , D & Quigley , A J 2017 , SpeCam: sensing surface color and material with the front-facing camera of mobile device . in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17) . , 25 , ACM , New York, NY , pp. 1-9 , 19th International Conference on Human-Computer Interaction with Mobile Devices and Services , Vienna , Austria , 4/09/17 . https://doi.org/10.1145/3098279.3098541 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781450350754 | |
dc.identifier.other | ORCID: /0000-0002-5274-6889/work/36661753 | |
dc.identifier.other | ORCID: /0000-0002-0740-3668/work/43832028 | |
dc.identifier.uri | https://hdl.handle.net/10023/11620 | |
dc.description.abstract | SpeCam is a lightweight surface color and material sensing approach for mobile devices which only uses the front-facing camera and the display as a multi-spectral light source. We leverage the natural use of mobile devices (placing it face-down) to detect the material underneath and therefore infer the location or placement of the device. SpeCam can then be used to support discreet micro-interactions to avoid the numerous distractions that users daily face with today's mobile devices. Our two-parts study shows that SpeCam can i) recognize colors in the HSB space with 10 degrees apart near the 3 dominant colors and 4 degrees otherwise and ii) 30 types of surface materials with 99% accuracy. These findings are further supported by a spectroscopy study. Finally, we suggest a series of applications based on simple mobile micro-interactions suitable for using the phone when placed face-down. | |
dc.format.extent | 9 | |
dc.format.extent | 15735208 | |
dc.language.iso | eng | |
dc.publisher | ACM | |
dc.relation.ispartof | Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17) | en |
dc.subject | Surface detection | en |
dc.subject | Material detection | en |
dc.subject | Discreet interaction | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | QA76 Computer software | en |
dc.subject | T Technology | en |
dc.subject | DAS | en |
dc.subject | BDC | en |
dc.subject | R2C | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | QA76 | en |
dc.subject.lcc | T | en |
dc.title | SpeCam: sensing surface color and material with the front-facing camera of mobile device | en |
dc.type | Conference item | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | 10.1145/3098279.3098541 | |
dc.date.embargoedUntil | 2017-09-04 |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.