Date of Award

2013

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Computer Science

Department

Computer Science

College

Engineering

Faculty Advisor

Nygard, Kendall

Description

Classification of gestures is important in the area of gestural interaction given the diversity, the complexity and the spontaneity of the gestures in different HCI application domains. Gesture designers for interactive systems as well as state-of-the-art researchers can benefit from a well-structured classification of gestures. Moreover, a taxonomy that includes efficient classes and labels and is capable to effectively distinguish gestures can be employed as a framework to express gestures in reliable gesture recognition systems. Existing taxonomies either lack a broad scope, or are too abstract and contain ambiguous dimensions. Proposing a taxonomy of gestures, which can address the diversity in gestural interactions while containing specific dimensions that are capable to distinguish gestures well, is the main contribution of this work. Evaluation of the proposed taxonomy, which is conducted via an elicitation study, reveals that it can efficiently classify gestures in HCI domain, particularly in the area of mid-air gestures.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/23110

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