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Project GameFace is an open-source hands-free gaming mouse powered by AI that allows users to control a computer cursor using their head movement and facial gestures. Discover how MediaPipe is used in Project GameFace to capture movements with a webcam and is recognized by ML models to move the cursor accordingly. Paul Ruiz, a Developer Advocate at Google, and Lance Carr, a Gamer and the inspiration behind Project GameFace, talk about object detection, another tool in the MediaPipe toolkit
Resources:
Learn more about Project Gameface → https://goo.gle/3wCCaDR
Watch episode 1 → https://goo.gle/3WGc5yd
Watch episode 2 → https://goo.gle/4b77mtX
Watch episode 3 → https://goo.gle/3UXswVA
Chapters:
0:00 Intro
0:56 How stickers helped development
1:38 Data collecting
4:07 Utilizing the data pool
6:09 Using MediaPipe studio
7:58 Running Object Detection
9:07 What applications can use this tech?
9:48 Practical applications
10:53 More info about GameFace
Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
#MediaPipe #Accessibility #Gaming
Speaker: Paul Ruiz Read More Google for Developers
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