Continuous character gesture track recognizing method based on STDW

Abstract

The invention provides a continuous character gesture track recognizing method based on a structural dynamic time domain wrapping algorithm (STDW) for solving the problems in the prior art. Through the automatic cutting problem of continuous gesture tracks, extraction of angular point new characteristics, the recognition of the STDW and the processing between character gesture tracks, natural, real-time and accurate recognition on continuous character gesture tracks is achieved. Compared with the prior art, the interaction mode is more natural, the constraint of users is smaller, and the requirement of man-machine interaction is met. Compared with the traditional situation that multiple gesture actions are more diversified in type, under the condition that accuracy and real-time performance are considered at the same time, the recognition effect of an original algorithm is improved by means of the STDW formed by combining a character gesture track structure and a dynamic time wrapping algorithm, the recognition rate is increased, and the method is high in accuracy and good in man-machine interaction experience and can meet the requirement for real-time performance.

Description

technical field [0001] The invention belongs to the technical field of computer vision and human-computer interaction, and more specifically relates to a method for recognizing continuous character gesture tracks based on STDW (Structured Dynamic Time Warping, structured dynamic time domain warping algorithm). Background technique [0002] Human-computer interaction technology realizes the information input and output between the computer and the human, the human inputs instructions to the computer, and the computer outputs calculation results to the human. Today, with the rapid development of information technology, the emergence of various smart devices is changing people's daily life. With the emergence of new smart devices, new human-computer interaction methods are subverting traditional human-computer interaction models. [0003] The commercialization of depth cameras (such as Kinect, Leap Motion) has made gesture recognition more and more attention in the field of 3D...

AI Technical Summary

Problems solved by technology

This method finally takes the upper, lower, left, right and other trajectories and simple characters such as 10 Arabic numerals as the recognition results, and assumes that the start and end points of the trajectories are known, and does not involve automatic trajectory segmentation algorithm design

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