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According to the report of the physicist's organization on May 7th, researchers from Microsoft and the University of Washington have jointly created a system that allows users to use gestures to inspire the computer to perform page scrolling and simulate double-click commands without the need for a computer-standard microphone. And any hardware other than speakers.
This system is based on the well-known Doppler effect: When the train whispering a whistle passes by an observer, he will find that the tone of the whistle changes from high to low, because the tone is determined by the frequency of sound waves. The sound wave frequency is high, the tone sounds high, and the reverse sounds low. This phenomenon is the Doppler effect. In the new system, engineers recorded changes in the tonal frequency produced by the computer's microphone and speakers when objects such as the palm of the hand were waved. Software called "Sound Wave" analyzes the corresponding frequencies and converts them into computer commands, which can also be applied to smart phones.
So far, the research team has captured five basic variables related to frequency changes: speed, direction, proximity, object size, and time variation. By capturing and measuring these variables when making gestures in front of a computer, “sound waves†can complete page scrolling up and down, recognize simulated mouse clicks and double clicks, and other continuous actions, and can achieve object on screen by moving the hands back and forth. Rotate etc. Therefore, the system can support the user to operate the Tetris game with only gestures, and can wake the user up when he is close to the computer, and make him go to sleep when the user leaves.
From this we can see that the research team has positioned "sound waves" as an extension of the computer, making it possible to complement the somatosensory system supported by the camera and sensors of Microsoft's Kinect. Researchers have conducted software tests based on a variety of different brands and types of computers, and found that the basic functions of the software can be implemented without the need to adjust existing hardware. The execution accuracy of all commands can reach 90%. In addition, they also tested through multiple users in different environments, including noisy cafes, and found that the software works well in all situations. (Zhang Hao)
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