摘要： In this paper, we propose a system to detect and track fingertips online and recognize Mandarin Phonetic Symbol (MPS) for user-friendly Chinese input purposes. Using fingertips and cameras to replace pens and touch panels as input devices could reduce the cost and improve the ease-of-use and comfort of computer-human interface. In the proposed framework, particle filters with enhanced appearance models are applied for robust fingertip tracking. Afterwards, MPS combination recognition is performed on the tracked fingertip trajectories using Hidden Markov Models. In the proposed system, the fingertips of the users could be robustly tracked. Also, the challenges of entering, leaving and virtual strokes caused by video-based fingertip input can be overcome. Experimental results have shown the feasibility and effectiveness of the proposed work. 出版者： London, England: SAGE Publications 出版日期： 2012-10-30 出處： International journal of advanced robotic systems, 2012-10, Vol.9 (4) 資源來源： Sage Journals GOLD Open Access 2024 版權： 2012 Yu et al.; licensee InTech. 版權： Copyright InTech 2012 版權： 2012. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1729-8806 識別號： ISSN: 1729-8814 識別號： EISSN: 1729-8814 識別號： DOI: 10.5772/52259
