Kuno, WakabaSugiura, YutaAsano, NaoKawai, WataruSugimoto, MakiTony Huang and Arindam Dey2017-11-212017-11-212017978-3-03868-052-9https://doi.org/10.2312/egve.20171384https://diglib.eg.org:443/handle/10.2312/egve20171384We 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.Humancentered computingInteraction devices10.2312/egve.2017138441-42