Show simple item record

dc.contributor.authorKuno, Wakabaen_US
dc.contributor.authorSugiura, Yutaen_US
dc.contributor.authorAsano, Naoen_US
dc.contributor.authorKawai, Wataruen_US
dc.contributor.authorSugimoto, Makien_US
dc.contributor.editorTony Huang and Arindam Deyen_US
dc.date.accessioned2017-11-21T15:42:21Z
dc.date.available2017-11-21T15:42:21Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-052-9
dc.identifier.urihttp://dx.doi.org/10.2312/egve.20171384
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20171384
dc.description.abstractWe propose a method for reconstructing hand posture by measuring the deformation of the back of the hand with a wearable device. Our method constructs a regression model by using the data on hand posture captured by a depth camera and data on the skin deformation of the back of the hand captured by several photo-reflective sensors attached to the wearable device. By using this regression model, the posture of the hand is reconstructed from the data of the photo-reflective sensors in real-time. The posture of fingers can be estimated without hindering the natural movement of the fingers since the deformation of the back of the hand is measured without directly measuring the position of the fingers. In our demonstration, users can reflect his / her own finger posture in a virtual environment.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectInteraction devices
dc.titleEstimation of 3D Finger Postures with wearable device measuring Skin Deformation on Back of Handen_US
dc.description.seriesinformationICAT-EGVE 2017 - Posters and Demos
dc.description.sectionheadersDemos
dc.identifier.doi10.2312/egve.20171384
dc.identifier.pages41-42


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record