Object interaction detection using hand posture cues in an office setting
Brandon Paulson
Danielle Cummings
Tracy Hammond
Abstract
The goal of this paper is to determine if hand posture can be used as a cue to determine the types of interactions a user has with objects in a desk/office environment. Our experiments indicate that (a) hand posture can be used to determine object interaction, with accuracy rates around 97%, and (b) hand posture is dependent upon the individual user when users are allowed to interact with objects as they would naturally.
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