The Research On Mobile Interactive Devices Based On Gesture Recognition

With swift development of the embedded software and hardware technology, the related technology of modern mobile interactive device has become a research hotspot at present, among which human-computer interaction is attracting increasing attention.Comparing with traditional mobile devices such as keyboard, interactive touch, gesture is more natural, convenient, direct and has richer ideographic expression. Currently,increasing domestic and foreign scholars and research institutions and even many large manufacturers have generated strong interest in the mobile interactive device based on gesture recognition. It is predictable that the mobile interactive device based on gesture recognition will likely become a next development trend of mobile equipment.Targeting on the realization of the practical embedded mobile equipment featured by low power consumption and real-time gesture recognition, this paper discusses and researches the hardware framework of mobile interactive devices based on gesture recognition, designs the software and hardware systems of a mobile interactive device based on gesture recognition. Further more, on the basis of intensive study on the related gesture recognition algorithm, this paper fulfills the development of the related gesture recognition algorithm layer. And finally, mobile interactive devices based on gesture recognition accomplishes.On the basis of the key technology of the mobile interactive devices based on gesture recognition, this analysis puts forward a reasonable system framework with high stability and powerful function and is reasonably carried out on the relevant part of the platform nature involved in the system framework. In this paper, the relative work on the design of related hardware and the establishment of platform are achieved, which provides a stable, feasible hardware platform for gesture recognition software.This paper studies the existing mature gesture recognition algorithms, makes the theoretical analysis and comparison of the existing mature algorithm, and proposes a gesture recognition algorithm featured by a good real-time performance, high accuracy and simple algorithm implementation, which is conducive to realize the stable and reasonable gesture recognition algorithm by the integration of region segmentation ofhuman hands, positioning of hand finger tips, the classification of the gestures, and then applied in the natural interaction between man and machine realized by the mobile interactive devices based on gesture recognition which is raised in this paper.Finally, analyzing the performance of the system, conducting the relevant experiments and tests on the related technical indicators of the existing mobile equipment, this paper achieves the performance reports of the hardware part and gesture recognition algorithm part, and moreover, analyzes the relevant reports and indicators.