Human activity recognition for physical rehabilitation

The recognition of human activity is a challenging topic for machine learning. We present an analysis of Support Vector Machines (SVM) and Random Forests (RF) in their ability to accurately classify Kinect kinematic activities. Twenty participants were captured using the Microsoft Kinect performing...

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Bibliographic Details
Main Authors: Daniel Leightley, John Darby, Baihua Li, Jamie S. McPhee, Moi Hoon Yap
Format: Default Conference proceeding
Published: 2013
Subjects:
Other information and computing sciences not elsewhere classified
Kinect
Machine learning
Random Forests
Support Vector Machines
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/20250
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