Making bare hand input more accurate.

To enable seamless interaction with both virtual and physical worlds, computers need to reliably distinguish intended input from other hand movements. Accurately classifying this input can reduce mode switches needed between interacting with computers and with physical objects in the environment. I aim to investigate the influence of proprioception and interaction context on hand postures and movements. Preliminary studies suggest consistent relationships that potentially allow for a more accurate prediction of users' intentions.