A context aware approach for enhancing gesture recognition accuracy on handheld devices
Author(s)
Advisor
Çapın, TolgaDate
2010Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
Input capabilities (e.g. joystick, keypad) of handheld devices allow users to interact
with the user interface to access the information and mobile services. However,
these input capabilities are very limited because of the mobile convenience.
New input devices and interaction techniques are needed for handheld devices.
Gestural interaction with accelerometer sensor is one of the newest interaction
techniques on mobile computing.
In this thesis, we introduce solutions that can be used for automatically enhancing
the gesture recognition accuracy of accelerometer sensor, and as a standardized
gesture library for gestural interaction on touch screen and accelerometer sensor.
In this novel solution, we propose a framework that decides on suitable signal
processing techniques for acceleration sensor data for a given context of the user.
First system recognizes the context of the user using pattern recognition algorithm.
Then, system automatically chooses signal ltering techniques for recognized
context, and recognizes gestures. Gestures are also standardized for better
usage.
In this work, we also present several experiments which show the feasibility and
e ectiveness of our automated gesture recognition enhancement system.