Statistical and Dynamical Modeling of Riemannian Trajectories with Application to Human Movement Analysis

Statistical and Dynamical Modeling of Riemannian Trajectories with Application to Human Movement Analysis

abstract: The data explosion in the past decade is in part due to the widespread use of rich sensors that measure various physical phenomenon -- gyroscopes that measure orientation in phones and fitness devices, the Microsoft Kinect which measures depth information, etc. A typical application requir...

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Bibliographic Details
Other Authors: Anirudh, Rushil (Author)
Format: Doctoral Thesis
Language:English
Published: 2016
Subjects:
Computer science
Mathematics
Electrical engineering
activity recognition
dimensionality reduction
human movement analysis
machine learning
manifolds
riemannian geometry
Online Access:http://hdl.handle.net/2286/R.I.38533

Internet

http://hdl.handle.net/2286/R.I.38533

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