@inproceedings{322ce12eaee8482282eb926d048f5667,
title = "Mandarin phonetic symbol combination recogniztion in visioned based input systems",
abstract = "This paper proposes a Mandarin Phonetic Symbols combination recognition system. This work provides a prototype of a user-friendly and efficient human-centered interface. The system analyzes the fingertip trajectories to obtain the strokes of Mandarin Phonetic Symbols combinations. The trajectories are segmented into real strokes and virtual strokes. The system computes the prior probabilities of different classes of combinations and via Bayes Classifier. The likelihood that each segment is generated by a certain Mandarin Phonetic Symbols combination model is computed via Hidden Markov Models. The experiments have validated the effectiveness of the proposed system.",
keywords = "Bayes classifier, Fingertip input, Hidden Markov models, Human computer interface, Mandarin phonetic symbols combination",
author = "Yu, {Chih Chang} and Cheng, {Hsu Yung}",
year = "2014",
doi = "10.1007/978-94-007-7262-5130",
language = "???core.languages.en_GB???",
isbn = "9789400772618",
series = "Lecture Notes in Electrical Engineering",
pages = "1139--1145",
booktitle = "Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013",
note = "Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 ; Conference date: 23-08-2013 Through 25-08-2013",
}