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US Patent 8373654 Image based motion gesture recognition method and system thereof

Patent 8373654 was granted and assigned to Acer on February, 2013 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Current Assignee
Acer
Acer
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
8373654
Patent Inventor Names
Chung-Cheng Lou0
Jing-Wei Wang0
Date of Patent
February 12, 2013
Patent Application Number
12770698
Date Filed
April 29, 2010
Patent Citations Received
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US Patent 12131011 Virtual interactions for machine control
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US Patent 11941163 Interaction engine for creating a realistic experience in virtual reality/augmented reality environments
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US Patent 11995245 User-defined virtual interaction space and manipulation of virtual configuration
0
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US Patent 12086328 User-defined virtual interaction space and manipulation of virtual cameras with vectors
0
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US Patent 12105889 Velocity field interaction for free space gesture interface and control
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US Patent 12118134 Interaction engine for creating a realistic experience in virtual reality/augmented reality environments
0
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US Patent 11775080 User-defined virtual interaction space and manipulation of virtual cameras with vectors
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US Patent 11875012 Throwable interface for augmented reality and virtual reality environments
0
Patent Primary Examiner
‌
Viet Pham
Patent abstract

An image based motion gesture recognition method and system thereof are disclosed. In embodiment, a hand posture detection is performed according to the received image frames, to obtain a first hand posture. It is then determined whether the first hand posture matches a predefined starting posture or not. If the first hand posture matches said predefined starting posture, movement tracking is performed according to hand locations on image frames, to obtain a motion gesture. During said movement tracking, the hand posture detection is performed according to said image frames to obtain a second hand posture, and it is determined whether the second hand posture matches a predefined ending posture. If the second hand posture matches the predefined ending posture, the movement tracking is stopped. Therefore, reduce complexity motion gesture recognition can be reduced and the reliability in interaction can be improved.

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