Multi-touch gesture recognition algorithm of vehicle electronic devices-based on Bezier curve optimization strategy
Liang Shen, Shicheng Huo, Mengshen Chen, Feng Li, Fengqi Yao, Hao Shen
Abstract
Liang Shen, Shicheng Huo, Mengshen Chen, Feng Li, Fengqi Yao, Hao Shen
Abstract
This paper addresses the problem of saving storage occupied with the current method of multi-touch gesture recognition. Based on the quadratic Bezier curve, an improved multi-touch gesture recognition method is presented. Firstly, the curve parameter equation can be obtained by using quadratic curve which is to fit gesture. Secondly, the property of quadratic Bezier curve is analyzed by utilizing the invariants of the quadratic curve. Then, in the light of the obtained equation, the core three points in the quadratic Bezier curve can be acquired. In this case, the improved recognition algorithm is designed. Finally, the effectiveness of the proposed algorithm is demonstrated by an experiment on vehicle electronic devices based on the Android system.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper addresses the problem of saving storage occupied with the current method of multi-touch gesture recognition. Based on the quadratic Bezier curve, an improved multi-touch gesture recognition method is presented. Firstly, the curve parameter equation can be obtained by using quadratic curve which is to fit gesture. Secondly, the property of quadratic Bezier curve is analyzed by utilizing the invariants of the quadratic curve. Then, in the light of the obtained equation, the core three points in the quadratic Bezier curve can be acquired. In this case, the improved recognition algorithm is designed. Finally, the effectiveness of the proposed algorithm is demonstrated by an experiment on vehicle electronic devices based on the Android system.
Key concepts: Bézier curve, Quadratic equation, Computer science, Gesture recognition, Algorithm, Sketch recognition, Curve fitting, Gesture