Having a user-friendly Human-CAD interaction with high speed and accuracy plays a key role in development of future intelligent modeling environments. A major part of this puzzle is sketch identification using either 2D gestures — which is commonly recorded from mouse, light pen and touchpad — or air gestures captured from some newly emerged devices such as Leap Motion and Soft-Kinect. To this end, we present a leaning based technique for segmentation of air gestures. The proposed technique can detect the separation points of any single-stroke air gesture using specific motion features such as speed, curvature and center of curvature. Two types of separation points are considered: 1) rough separation points or simply corner points and 2) soft separation points such as inflection points. The segmentation is performed in two steps: Support Vector Machine (SVM) is used to adaptively differentiate the corner points from regular points. A soft segmentation method is then implemented to further break the rough segments into a set of smaller arcs and lines based on sudden change in the center of curvature. The experimental validation shows robust performance of the proposed method and low computation expenses.
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ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 17–20, 2014
Buffalo, New York, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-4629-2
PROCEEDINGS PAPER
Adaptive Segmentation for Air Gestures Identification
Mostafa Ghobadi,
Mostafa Ghobadi
University at Buffalo, Buffalo, NY
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Ehsan T. Esfahani
Ehsan T. Esfahani
University at Buffalo, Buffalo, NY
Search for other works by this author on:
Mostafa Ghobadi
University at Buffalo, Buffalo, NY
Ehsan T. Esfahani
University at Buffalo, Buffalo, NY
Paper No:
DETC2014-34809, V01BT02A030; 5 pages
Published Online:
January 13, 2015
Citation
Ghobadi, M, & Esfahani, ET. "Adaptive Segmentation for Air Gestures Identification." Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1B: 34th Computers and Information in Engineering Conference. Buffalo, New York, USA. August 17–20, 2014. V01BT02A030. ASME. https://doi.org/10.1115/DETC2014-34809
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