Object interaction detection using hand posture cues in an office setting |
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| Authors: | Brandon Paulson Danielle Cummings Tracy Hammond |
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| Affiliation: | 1. Construction Engineering and Management Division, Charles Durham School of Architectural Engineering and Construction, University of Nebraska–Lincoln, W116 Nebraska Hall, Lincoln, NE 68588, USA;2. Seoul National University, San 56-1 Shinrim-dong, Seoul, Korea;3. ST Development Group, Samsung SDS Co., Ltd., 123 Olymic-ro 35-gil, Songpa-gu, Seoul, Korea;4. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA |
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| Abstract: | Activity recognition plays a key role in providing information for context-aware applications. When attempting to model activities, some researchers have looked towards Activity Theory, which theorizes that activities have objectives and are accomplished through interactions with tools and objects. 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. Furthermore, we wish to determine if hand posture is user-independent across all users when interacting with the same objects in a natural manner. 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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