Depth sensitive vision-based human-computer interaction using natural arm/finger gestures : an empirical investigation

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Creator: 

Farhadi-Niaki, Farzin

Date: 

2012

Subject: 

Computer science.
Operations research.
Statistical physics.

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering, Electrical and Computer

Parent Collection: 

Theses and Dissertations

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