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  • 标题:GEOMETRY ALGORITHM ON SKELETON IMAGE BASED SEMAPHORE GESTURE RECOGNITION
  • 本地全文:下载
  • 作者:AERI RACHMAD ; MUHAMMAD FUAD
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:81
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Semaphore, a way of communicating remotely, usually practiced in scouting activities. Information is delivered by gestures or movements using specific tools such as flags, paddles or rods. Teacher and instructors are needed for learning semaphore in conventional way as they will give examples and make correction when such an error occured. Based on the practical need to provide an alternative way to learn semaphore, this research proposes the use of geometry algorithm to develop a semaphore gesture recognition based on skeleton images that read from Kinect sensor. Euclidean distance and law cosines are two formulas that applied to generate gesture parameters of each alphabet. Recognition is achieved by comparing a pair of values of model and real-time gesture. Accuracy of this system that have been measured using RMSE with 30� of tolerance yields 90.76% for Alphabet and 88% for Word.
  • 关键词:Semaphore Gesture; Geometry Algorithm; Kinect; Skeleton Image; Alphabet
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