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Computers have become ubiquitous and integrated into our day-to-day activities. Researchers have been exploring mechanisms for interacting with computers using natural means in natural environments. Water interaction is a perfect example. This paper presents our attempt to use foot gestures performed in water as an interaction mechanism. It is an extension of our previous study for detecting objects in a water vessel. An experiment was performed to determine which foot-based gestures are suitable for implementation, and we proceeded to recognize a selected set of gestures using machine-learning techniques. We present our findings regarding which algorithms provide the best recognition rates.

Gesture tank: a gesture detection water vessel for foot movements