Gesture control man-machine interactive system based on WiFi

Abstract

The invention discloses a gesture control man-machine interactive system based on WiFi.The gesture control man-machine interactive system comprises a signal collecting module, a signal processing module, a gesture action extraction module and an action command mapping module, wherein the signal collecting module obtains channel state information (CSI) of a physical layer containing user' action from WiFi signals; the signal processing module processes collected signals, and the processing comprises donoising, filtering and smoothing operation; the gesture action extraction module performs gesture action information extraction according to signals obtained from the signal processing module; the action command mapping module is used for obtaining gesture action data from the gesture action extraction module and mapping the data to be corresponding computer operation instructions.By means of the WiFi signals, users do not need to wear any specially-made equipment; through the collection of the channel state information of the physical layer, the extraction and identification of gesture information contained in the channel state information and the mapping to be the corresponding computer operation instructions, human interaction is performed.The cost is low, and the system has low coupling performance and scalability.

Description

technical field [0001] The invention relates to a gesture control human-computer interaction system, in particular to a WiFi-based gesture control human-computer interaction system. Background technique [0002] Most of the current mainstream human-computer interaction technologies are based on sensors and cameras. For example, Microsoft's Xbox Kinect and Leap's LeapMotion are human-computer interaction technologies based on camera recognition of human body movements. The Institute of Computing Technology, Chinese Academy of Sciences has successfully developed a Chinese sign language recognition and synthesis system based on multifunctional perception. It uses data gloves based on multiple sensors to recognize sign language words with a large vocabulary (5177). Both of these two mainstream human-computer interaction technologies require additional special equipment, such as cameras and multi-functional sensors, and the equipment costs are relatively high. [0003] Camera-ba...

AI Technical Summary

Problems solved by technology

Sensor-based human-computer interaction technology requires users to wear sensor devices all the time, which is inconvenient for actual use

Another similar product is a motion control system based on speech recognition, but this system is not ideal in noisy environments, and the deaf users are basically unable to use such products

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