The development of artificial intelligence technology has promoted the rapid\nimprovement of human-computer interaction. This system uses the Kinect\nvisual image sensor to identify human bone data and complete the recognition\nof the operatorâ??s movements. Through the filtering process of real-time\ndata by the host computer platform with computer software as the core, the\nalgorithm is programmed to realize the conversion from data to control signals.\nThe system transmits the signal to the lower computer platform with\nArduino as the core through the transmission mode of the serial communication,\nthereby completing the control of the steering gear. In order to verify\nthe feasibility of the theory, the team built a 4-DOF robotic arm control system\nand completed software development. It can display other functions such\nas the current bone angle and motion status in real time on the computer\noperation interface. The experimental data shows that the Kinect-based motion\nrecognition method can effectively complete the tracking of the expected\nmotion and complete the grasping and transfer of the specified objects, which\nhas extremely high operability.
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