Design of a Set of Foot Movements for a Soccer Game on a Mobile Phone
In this paper, we report on the design of 19 foot movements (or gestures) for a soccer game on a mobile phone, all of which are performed by professional footballers. In our experiment, a person wore a Myo armband below the knee and performed each movement, and an accelerometer based gesture recognition system on an Android smartphone was used to map out each movement. The recognition system ran on a limited memory device, and so a light gesture recognition method was required. Therefore, a real time online dynamic time warping algorithm was used, since this is faster than a classical method. The algorithm generated results are comparable with those obtained on workstations, and an average recognition rate of 91 was obtained.
The Computer Games Journal