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- W2184163048 abstract "Gesture system can be considered as the non-tongue language that enables the human to emphasize or clarify the importance of current speech when communicate with other human(s).This idea can be utilized to be the vision based language between the human and the human-made intelligent machines. In this paper, the researcher introduced a gesture system model for recognizing the hand posture, the main contribution of this paper is the presenting of a new feature extraction method based on circle division of hand posture, this new scheme gives some flexibility for posture rotation in some decided degree that depends on the number of applied circle portions which in turn reduces the number of gesture samples stored in the database which finally impacts the processing time. The researcher has applied the system with a very low number of training samples per posture that is just two samples and with a very remarkable recognition rate of 97.92 % using twelve circles of eight portions per circle when tested with eight samples per posture, and the achievable recognition time was less than 0.6 second." @default.
- W2184163048 created "2016-06-24" @default.
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- W2184163048 date "2013-01-01" @default.
- W2184163048 modified "2023-09-27" @default.
- W2184163048 title "Engineering & Information Technology" @default.
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