Abstract
We propose a new method to recognize gestures from sound waves. The main contribution of this paper is to recognize gestures based on the analysis of short-time Fourier transforms (STFT) using the Doppler effect to sense gestures. To do this, we generate an inaudible tone, which gets frequency-shift
Highlights
Gestures, a natural language of humans, provide an intuitive and effortless interface for communication with the computers
By using short-time Fourier transformation to extract short time energy features presented in Section 2.2; we focus on the construction of the experimental program to identify the sound waves from hand gestures in laptop computer controlling
The system is operating on sound waves at 18kHz-22kHz frequency and can be adjusted in the user interface
Summary
A natural language of humans, provide an intuitive and effortless interface for communication with the computers. Gesture recognition based on the variation in sound waves frequency domain approach is a sound wave sensors utilize computer speakers and microphone. The Microsoft’s SoundWave and University of Washington [7] or Acoustic Doppler Sonar (ADS) [2] This problem is continuing to develop applications, e.g., a gesture recognition system that leverages wireless signals to enable whole-home sensing and recognition of human gestures [6] and bringing gesture to all device [1]. Use a continuous sound waves with frequencies of 2.4 GHz to customize the drive They used the Doppler shifted signals reflect to infer human movement and body movement in an interactive space [11]. Developed a device to recognize hand gestures in 3D space using low-cost ultrasonic transducer emits a 40-kHz tone.
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