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When Google revealed Project Gameface, the company was proud to show off a hands-free, AI-powered gaming mouse that, according to its announcement, “enables people to control a computer’s cursor using their head movement and facial gestures.” While this may not be the first AI-based gaming tool, it was certainly one of the first to put AI in the hands of players, rather than developers.
The project was inspired by Lancy Carr, a quadriplegic video game streamer who utilizes a head-tracking mouse as part of his gaming setup. After his existing hardware was lost in a fire, Google stepped in to create an open source, highly configurable, low-cost alternative to expensive replacement hardware, powered by machine learning. While AI’s broader existence is proving divisive, we set out to discover whether AI, when used for good, could be the future of gaming accessibility.
It’s important to define AI, and machine learning, to understand clearly how they work in Gameface. When we use the terms “AI” and “machine learning,” we’re referring to both the same and different things.
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