Abstract: A video device for realtime pedaling frequency estimation is mounted on a bike and comprises an image capture unit capturing continuous dynamic images of an upper body of a biker; an image recognition unit recognizing images of symmetric regions of the biker and images of swings of the symmetric regions from the continuous dynamic images; a microprocessor calculating a frequency of periodical swings of the biker from the images of the symmetric regions and the images of the swings of the symmetric regions, and then obtaining a pedaling frequency; and a display device presenting the pedaling frequency, wherein a widely-used intelligent handheld device replaces the sensors, display device, and complicated circuits of the conventional cyclometer, and wherein a novel image recognition technology is used to measure the pedaling frequency with a considerable accuracy in a lower cost and a convenient way.

Abstract: A video device for realtime pedaling frequency estimation is mounted on a bike and comprises an image capture unit capturing continuous dynamic images of an upper body of a biker; an image recognition unit recognizing images of symmetric regions of the biker and images of swings of the symmetric regions from the continuous dynamic images; a microprocessor calculating a frequency of periodical swings of the biker from the images of the symmetric regions and the images of the swings of the symmetric regions, and then obtaining a pedaling frequency; and a display device presenting the pedaling frequency, wherein a widely-used intelligent handheld device replaces the sensors, display device, and complicated circuits of the conventional cyclometer, and wherein a novel image recognition technology is used to measure the pedaling frequency with a considerable accuracy in a lower cost and a convenient way.