Machine learning gesture analysis of yoga for exergame development

Machine learning gesture analysis of yoga for exergame development

Many successful and innovative information technology applications use gestures as input. These programs span a wide variety of genres, platforms and input technologies, from the touch screen of a smart phone to the full-motion, the natural input of devices like the Kinect Sensor. Visual Gesture Bui...

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Bibliographic Details
Main Authors: Paula Pullen, William Seffens
Format: Article
Language:English
Published: Wiley 2018-06-01
Series:IET Cyber-Physical Systems
Subjects:
computer games
learning (artificial intelligence)
gesture recognition
biomechanics
patient treatment
exergame development
input technologies
touch screen
smart phone
Kinect Sensor
Visual Gesture Builder
gesture detection
gesture analysis technology
personalised medical interventions
machine learning algorithm
basic computer video exergame
yoga skill acquisition
information technology applications
gesture analysis
healthy physical activity
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0027

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0027

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