Proceedings ArticleDOI
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Sven Kratz,Michael Rohs +1 more
- pp 371-374
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TLDR
The design of the Protractor 3D algorithm is presented and a study that evaluated its performance is presented, which shows it to be well-suited for application in resource-constrained mobile devices.Abstract:
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor to 3D gestures. It inherits many of Protractor's desirable properties, such as high recognition rate, low computational and low memory requirements, ease of implementation, ease of customization, and low number of required training samples. Protractor 3D is based on a closed-form solution to finding the optimal rotation angle between two gesture traces involving quaternions. It uses a nearest neighbor approach to classify input gestures. It is thus well-suited for application in resource-constrained mobile devices. We present the design of the algorithm and a study that evaluated its performance.read more
Citations
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3D Gestural Interaction: The State of the Field
TL;DR: The state of the field of 3D gestural interfaces is examined by presenting the latest strategies on how to collect the raw 3D gesture data from the user and how to accurately analyze this raw data to correctly recognize 3D gestures users perform.
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Low-Complexity Hand Gesture Recognition System for Continuous Streams of Digits and Letters
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Feature Processing and Modeling for 6D Motion Gesture Recognition
TL;DR: This work introduces a statistical feature-based classifier as the baseline and proposes an HMM-based recognizer, which offers more flexibility in feature selection and achieves better performance in recognition accuracy than the baseline system.
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