Abstract
Foot motion recognition plays an important role in VR interaction. The VR treadmill is the mainstream device used for foot motion recognition. However, they have many restricts and usually bring users unnatural experiment. In this article, a small and portable device is designed with a gyroscope to collect the user's foot attitude data and transmit data through Bluetooth to a computer for further analysis. A new adaptive foot motion algorithm is also proposed for the recognition device. The algorithm decomposes the foot motion attitude data into three components, analyses the motion status in the three components, and composes the motion status to generate the final motion direction and speed. A performance evaluation shows that the proposed algorithm could rapidly and accurately recognize the foot motion and the device that was designed could bring a user a much more natural experience in a VR environment.
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More From: International Journal of Ambient Computing and Intelligence
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