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dc.contributor.authorYeo, Hui Shyong
dc.contributor.authorLaput, Gierad
dc.contributor.authorGillian, Nicholas
dc.contributor.authorQuigley, Aaron John
dc.identifier.citationYeo , H S , Laput , G , Gillian , N & Quigley , A J 2017 , Workshop on object recognition for input and mobile interaction . in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services . , 75 , ACM , New York, NY , 19th International Conference on Human-Computer Interaction with Mobile Devices and Services , Vienna , Austria , 4/09/17 .
dc.identifier.otherPURE: 249809081
dc.identifier.otherPURE UUID: b73d662e-bc6b-4f24-8a19-336d5966ae12
dc.identifier.otherScopus: 85030321044
dc.identifier.otherORCID: /0000-0002-5274-6889/work/36661752
dc.identifier.otherWOS: 000426571300074
dc.description.abstractToday we can see an increasing number of Object Recognition systems of very different sizes, portability, embedability and form factors which are starting to become part of the ubiquitous, tangible, mobile and wearable computing ecosystems that we might make use of in our daily lives.These systems rely on a variety of technologies including computer vision, radar, acoustic sensing, tagging and smart objects. Such systems open up a wide-range of new forms of touchless interaction. With systems deployed in mobile products then using everyday objects that can be found in the office or home, we can realise new applications and novel types of interaction. Object based interactions might revolutionise how people interact with a computer. System could be used in conjunction with a mobile phone, for example it could be trained to open a recipe app when you hold a phone to your stomach, or change its settings when operating with a gloved hand. Although the last few years have seen an increasing amount of research in this area, knowledge about this subject remains under explored, fragmented, and cuts across a set of related but heterogeneous issues. This workshop brings together researchers and practitioners interested in the challenges posed by Object Recognition for Input and Mobile Interaction.
dc.relation.ispartofProceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Servicesen
dc.rights© 2017, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectContext-aware interactionen
dc.subjectMaterial classificationen
dc.subjectObject recognitionen
dc.subjectUbiquitous computingen
dc.subjectInteraction techniques and mobile computingen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.titleWorkshop on object recognition for input and mobile interactionen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen

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