The Idea With the recent success of depth cameras such as Kinect, gesture and posture recognition has become easier. Using depth sensors, the 3D locations of body-joints can be reliably extracted to used with any machine learning framework, specific gestures or posture can be modelled and inferred. Real world applications in Virtual Reality can be used for Yoga, Ballet training, Golf, anything related to activity recognition and proper postures. I also see application of it in the Architectural, Engineering, Construction and Manufacturing Industry by sending depth sensor data to the cloud to identify correct configurations. It could be used for quality control, anomaly detection and part recognition
What it does
This is a proof of concept to detect pose "Y", "M", "C" , "A" and stream the result back to the browser.
How I built it
Posture Recognition Device in Virtual Reality Capturing the Kinect Skeletal Data, Visualize it in Virtual Reality and send it to Azure IoT for Machine Learning.
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Challenges I ran into
Accomplishments that I'm proud of
Getting Kinect to run on LattePanda board
What I learned
Virtual Reality Web and Machine Learning