Abstract
In this paper, the accelerometer of intelligent terminal is used for gesture recognition. Most of the current motion recognition algorithms in this field have great restrictions on the standardization of motion, and the recognition rate for slightly substandard motion is greatly reduced. Aiming at the existing "$3" algorithm, this paper proposes to project the 3D motion data to the 2D plane for trajectory pattern recognition, and uses the angle and radius to identify the curved area. This method can make up for the people greatly. Physiological habits lead to difficulty in the recognition of gestures, which can greatly improve the recognition accuracy when the movement is not standardized.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
