title   
  

Natural interaction framework for pedestrian navigation systems on mobile devices

Kayalar, Ceren (2006) Natural interaction framework for pedestrian navigation systems on mobile devices. [Thesis]

[img]PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4Mb

Official URL: http://risc01.sabanciuniv.edu/record=b1160394 (Table of Contents)

Abstract

Mobile Augmented Reality applications base on navigation frameworks try to promote interaction beyond the desktop by employing wearable sensors, which collect user's position, orientation or diverse types of activities. Most navigation frameworks track location and heading of the user in the global coordinate frame using Global Positioning System (GPS) data. On the other hand, in the wearable computing area researchers studied angular data of human b o y segments in the local coordinate frame using inertial orientation trackers. We propose a combination of global and local coordinate frame approaches and provide a context-aware interaction framework for mobile devices by seamlessly changing Graphical User Interfaces (GUIs) for pedestrians wandering in urban environments. The system is designed and tested on a Personal Digital Assistant (PDA) based handheld prototype mounted with a GPS receiver and inertial orientation tracker. It introduces a method to estimate orientation of a mobile user's hand. The recognition algorithm is based on state transitions triggered by time-line analysis of pitch angle and angular velocity of the orientation tracker. The prototype system can differentiate between three postures successfully. We associated each posture with different contexts which are of interest for pedestrian navigation systems: investigation, navigation and idle. Thus, we introduce the idea that once orientation trackers became part of mobile computers, they can be used to create natural interaction techniques with mobile computers. The prototype is tested successfully in two urban environments: Sabanci University campus area, . 9th International Istanbul Biennial venues in Beyoglu, Istanbul.

Item Type:Thesis
Uncontrolled Keywords:Context-awareness. -- Location based services. -- Mobile computing. -- Posture recognition. -- Interaction techniques. -- Augmented reality. -- Inertial sensors. -- GPS receiver
Subjects:Q Science > QA Mathematics
ID Code:8366
Deposited By:IC-Cataloging
Deposited On:15 Apr 2008 09:12
Last Modified:27 Dec 2008 14:56

Repository Staff Only: item control page