Zhaochen Liu

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2013-101

May 17, 2013

Gesture recognition allows users to interact with their electronic devices in a manner that mimics their interaction with the physical world, thus making devices easier to use for all users. Interacting with the software, using gesture and body motion is definitely a cool ideal. However, designing effective interactions is a challenge on a gesture-controlled application.

We partnered with the Microsoft Windows Phone Team to develop a Kinect physiotherapy application. This application enables the patients to perform recovery exercises remotely at home. It checks the patient’s body movements against doctors’ instructions and provides real-time instructions to the patients. In order to validate the market value for such an application and further enhance this prototype, we conducted market studies and user tests. In particular, I was in charge of the development of the user interface in this project. Also, I developed guidelines for designing the user interaction of gesture-controlled applications.

Advisors: Björn Hartmann

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BibTeX citation:

@mastersthesis{Liu:EECS-2013-101,
    Author= {Liu, Zhaochen},
    Title= {Design a Natural User Interface for Gesture Recognition Application},
    School= {EECS Department, University of California, Berkeley},
    Year= {2013},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2013/EECS-2013-101.html},
    Number= {UCB/EECS-2013-101},
    Abstract= {Gesture recognition allows users to interact with their electronic devices in a manner that mimics their interaction with the physical world, thus making devices easier to use for all users.  Interacting with the software, using gesture and body motion is definitely a cool ideal.  However, designing effective interactions is a challenge on a gesture-controlled application.

We partnered with the Microsoft Windows Phone Team to develop a Kinect physiotherapy application.  This application enables the patients to perform recovery exercises remotely at home.  It checks the patient’s body movements against doctors’ instructions and provides real-time instructions to the patients.  In order to validate the market value for such an application and further enhance this prototype, we conducted market studies and user tests.  In particular, I was in charge of the development of the user interface in this project.  Also, I developed guidelines for designing the user interaction of gesture-controlled applications.},
}

EndNote citation:

%0 Thesis
%A Liu, Zhaochen 
%T Design a Natural User Interface for Gesture Recognition Application
%I EECS Department, University of California, Berkeley
%D 2013
%8 May 17
%@ UCB/EECS-2013-101
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2013/EECS-2013-101.html
%F Liu:EECS-2013-101