Dynamic action capturing and peripheral device interaction method and system

Abstract

The invention relates to an interactive method and system for dynamic capturing and ambient equipment, with at least one micro inertia sensor at a proper position of the human body, with the action of the human body getting relevant parameters of the continuous movement. Then, calculate these action parameters through algorithm to analyze the input action serial of the converting to time variance. Compare the input action serial with the preset action information. Using the compared result to open or trigger or control the electric device ambient to make actions. It also puts forward to calculation of the tested action parameter with time to form an amount of exercise, and interact based on the movement scale and ambient electronic device.

Description

technical field [0001] The present invention relates to a method and system for interacting with peripheral electronic devices, in particular to a method and system that utilizes a sensor to sense the motion state of the human body, and then converts the sensed motion state into a time-related motion state through algorithm processing. A method and system for dynamic motion capture and interaction with peripheral devices by means of motion sequence and movement amount to interact with peripheral electronic devices. Background technique [0002] Human limb motion sensing plays an important role in the application of virtual reality and control electronic devices. By capturing human body motions, people can interact with virtual reality scenes, resulting in many applications. Take U.S. Pat. No. 6,009,210 as an example, it is a common way to capture human body images by optical cameras, and then analyze and input virtual reality scenes for interaction, but the prices of these s...

AI Technical Summary

Problems solved by technology

Human body gestures and corresponding trigger actions are one-to-one, which means that one human gesture corresponds to one trigger message. Different gestures are captured by images, and corresponding triggers are generated through algorithms. However, this device It still needs to use images to capture motion gestures, which does not meet the advantages of portability, convenience, and low price.

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