A simulated driving system and its control method for intelligent recognition of hand gestures

Abstract

The invention discloses a driving simulation system capable of intelligently identifying gestures of two hands and a control method of the driving simulation system. The driving simulation system comprises a left hand gesture identifying wristband, a right hand gesture identifying wristband and a terminal; the left hand gesture identifying wristband and the right hand gesture identifying wristband are connected with the terminal through a communication network, and the left hand gesture identifying wristband comprises a first three-axis acceleration sensor used for collecting left-hand three-axis acceleration sequences at all moments in left hand gesture changes. A user only needs to wear the left hand gesture identifying wristband with the three-axis acceleration sensor and the right hand gesture identifying wristband with a three-axis acceleration sensor on the two hands respectively, gesture identifying is conducted through the three-axis acceleration sensors, and the identifying speed is higher; the spatial positions of the hands can be identified and tracked, comparative analysis is conducted through simple space coordinate sequences, few identification errors are generated, the activity space is not constrained, and the system is easy and convenient to operate.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a simulated driving system and a control method for intelligently recognizing gestures of both hands. Background technique [0002] With the rapid development of somatosensory interaction technology and the widespread adoption of 3D sensors, the application of somatosensory interaction is becoming more and more popular, especially gesture recognition technology, which is widely used in human-computer interaction intelligent systems. In recent years, gesture recognition technology has also been applied to simulated driving learning systems or virtual racing systems, allowing users to make various combined gestures with both hands to control the system, allowing users to have endless fun between physical exercise and creative imagination. However, the existing gesture-recognition simulated driving learning systems or virtual racing systems all use the method of v...

AI Technical Summary

Problems solved by technology

Although this method of video recognition of hand gestures is relatively intuitive, it needs to go through a complex mathematical calculation process, the recognition speed is slow, and it cannot recognize and track the spatial position of the hands, and the recognition error is relatively large; moreover, the user must be within the range of the camera to The activity space is restricted, or the user wears a camera on the head, but this is cumbersome and inconvenient

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