Static gesture intention recognition method and system based on dynamic feature assistance and vehicle

Abstract

The invention discloses a static gesture intention recognition method and system based on dynamic feature assistance and a vehicle. The method comprises the following steps: step 1, hand detection; the method comprises the following steps of: 1, extracting dynamic features, 2, hand tracking, 3, static gesture classification, 4, spatial position judgment, 5, continuous frame recognition, 6, dynamic feature extraction and judgment, 7, static gesture judgment output and 8, in-vehicle application event response. According to the method, the static gesture actions are classified based on the hand action information of the user, the static gesture intention of the user can be recognized more accurately by combining the forward hand action trend characteristics in the static gesture control process, the misrecognition situation caused by the fact that similar gestures are static and free of operation or unconscious random waving is reduced, and the user experience is improved. And the false triggering rate is reduced, so that the cockpit gesture control function experience of the user is improved.

Description

technical field [0001] The invention belongs to the technical field of vehicle control, and in particular relates to a method, a system and a vehicle for recognizing static gesture intention based on dynamic feature assistance. Background technique [0002] Cars are commonly used means of transportation. While ensuring safety, people also put forward higher requirements for convenience and comfort in the use of cars. With the continuous development and upgrading of interaction methods in the cockpit, from traditional physical buttons, to touch screen control, to voice control, to the increasingly widely used gesture control, the interaction methods are becoming more convenient and smarter. Gesture recognition has obvious advantages in scenes where voice control is inconvenient or awkward. At the same time, gesture applications that are natural and conform to user control logic can better reflect the sensorless interaction experience of the cockpit. Therefore, it is particul...

AI Technical Summary

Problems solved by technology

This method combines the output information of the recognition network without increasing the hardware cost. Due to the scarcity and inaccuracy of the input information itself, the performance optimization effect is not good.

Another example is a three-dimensional gesture recognition device and three-dimensional gesture recognition method disclosed in CN201210565201.7. In this method, the method is optimized on the basis of adding a recognition device. The recognition device includes two infrared cameras, an image acquisition unit, an

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