Quick human movement identification method oriented to human-computer interaction

Abstract

The invention discloses a quick human movement identification method oriented to human-computer interaction. The method comprises the following steps that: (1) collecting bone point coordinate information; (2) selecting a key point; (3) extracting movement characteristics; (4) carrying out movement identification; and (5) using a robot. The invention provides the quick human movement identification method oriented to the human-computer interaction. The whole system consists of a terminal computer, Kinect human movement input equipment, a Bluetooth communication module and a robot. Firstly, theKinect is used for capturing a human body, effective nodes which can represent whole-body movement are extracted from 20 joint nodes and are calculated to obtain movement characteristics, and a movement template is formed and stored into a TXT text. In an identification stage, a movement sequence to be tested and a standard template are quickly matched through an F-DTW (Fast Dynamic Time Warping)algorithm, and an identification result is given. According to a movement identification result, the robot makes different responses. By use of a quick algorithm, movement identification speed is greatly improved, and quickly control for the robot is optimized.

Description

technical field [0001] The invention belongs to the fields of computer virtual reality and human-computer interaction, and in particular relates to a fast human-computer interaction-oriented recognition method for human-computer interaction, which utilizes human-computer interaction to control a robot and realizes human-computer interaction. Background technique [0002] With the development of robot control technology, the interaction between humans and robots has become more and more common, and the human-computer interaction technology is also developing rapidly, and the use of human body movements to control robots has become a research hotspot in the field of human-computer interaction. [0003] Traditional gesture recognition is contact recognition, wearing data gloves, or installing sensors such as gyroscopes on the body to perceive movements, so as to achieve the purpose of movement recognition. This method has high accuracy, but it needs to wear sensors on the body ...

AI Technical Summary

Problems solved by technology

Ordinary cameras are often severely affected by the environment (background, lighting, occlusion, etc.), so action recognition needs to be performed in an ideal environment, and the robustness is not strong

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