A MOBILE PLATFORM FOR LOCATION-BASED SERVICE APPLICATIONS USING AUGMENTED REALITY: ONLINE MAP, TRACKING AND NAVIGATION ON GOOGLE ANDROID SMARTPHONE DEVICE (TOC, Abstract, Chapter 1 and Reference only)

This project paper is about Augmented Reality (AR) using location-based visualization and implementation on the smartphone devices. That is partly because smartphone comes packed with built-in sensors have grown and become popular over the years. This will explore the interactive and interaction Location Based Services that AR allows on Android devices. The use of mobile applications and advancement in mobile technology such as Global Positioning System (GPS), compass and accelerometer sensors are able to identify and determine the location and orientation of the device, location-based applications with augmented reality views are possible. AR combines the real world with virtual, the integration of information in the user's environment in real time, the user interaction techniques of representing rich, intuitive information data of the real world. The AR application which typically takes the image of the integrated camera, positioning location as a representation of the real world and project objects on top of this image to create the AR view. The research was initiated by exploring and reviewing literature related domain and existing AR application available on Android devices. There are a number of AR applications available and the rapid development of Android smartphone devices has provided an improved platform for the application of mobile AR technologies. Developing application will help the researcher explore the topic while going through this technology. The aim of this study is to develop a combination of location-based information and AR features by blending both visual, map-based and nonmap based elements like live projection of a nearby landmark on camera preview on mobile devices, utilizing free and open source software development tools. In the context of this paper a prototype application, based on the Android platform and Mixare engine library is developed. This paper showed the initial thoughts on this application and overall process that leads to the final system development. This report describes MyARTGuide, a prototype application of augmented reality designed to be run over Android based smartphone. The user can now look through their phone as if taking a picture to look at the augmented world which leads to a better user experience. MyARTGuide is developed for experiment, simulation and to test the AR functionality of these project objectives is not a fully functional product. Thus, there are still more areas that can be improved and new features can be added. With the use of AR and Andorid technology it is possible to spread the experience which will be shown in this report. (ABSTRACT BY AUTHOR

iPhone App: Lecturer's Room Finder, UUM-CAS

The Information Technology building at the College of Arts and Sciences, Universiti Utara Malaysia has a complex design. The numbering of the lecturers’ rooms is very confusing and finding the required room is very difficult and taking a long time not just for students but also for lecturers. The purpose of this study is to develop a mobile indoor navigation prototype for lecturers’ room search based on iPhone. This report discusses about indoor navigation and the development of the prototype based on iPhone. This study utilized the research methodology in Information System (IS) which was adapted from Vaishnavi and Kuechler (2004). The use of mobile indoor navigation prototype could help students to find the required room faster while saving energy and increasing productivity. The mobile indoor navigation prototype was developed using web tools such as PHP, HTML5, CSS, JavaScript and SQLite as database. The prototype can be used as an alternative way in finding lecturers’ room at IT building. The results from the evaluation indicated that mobile indoor navigation application for searching lecturers' room at IT building, College of Arts and Sciences, Universiti Utara Malaysia based on iPhone devices has achieved all the objectives. The users agreed in terms of Perceived Usefulness and Perceived Ease of Use towards the use of the prototype

Personal digital Mutawwif: A multi-modal mobile Hajj assistance using the location based services

Many efforts have been initiated and many techniques and approaches have been developed to facilitate the difficulties faced by pilgrims. However, those studies focus on acquiring initial perspective and background knowledge about Hajj before going to Makkah.In conjunction to that, this study utilizes A-GPS in mobile phone to assist the pilgrims during Hajj.The main aim of this paper is to discuss about the development of a multi-modal mobile application called the Personal Digital Mutawwif (PDM), using location based services to assist pilgrims while performing all the rituals of Hajj.Android platform has been chosen due to the dramatic increased in the Android mobile phone users worldwide. PDM displays the Arabic text, the translation in Malay and also the Arabic audio files of the dua and zikr, which has been gathered, compiled, and verified before the development using Java 2 Platform, Micro Edition (J2ME). The application has been proven to be useful in helping the pilgrims to easily and conveniently recite the dua and zikr towards achieving Hajj Mabrur

Real-Time Human Trajectory Dataset Capture Model (RT-HTDCM) using GPS and Assisted-GPS Technologies: African Perspective

Movement is one of the characteristics of human beings that allow them change their location with time in their environment to obtain essential requirements of life and also take part in other social life activities. A moving person always leave trajectory (trace) through which he/she passed. But it is often difficult for people to divulge information about their trajectories.  However, the information is often needed or required, for business, security, social, etc, reasons to monitor their trajectories and infer what led them through these trajectories. With the recent development in Telecommunications and ICT (Information & Communications Technology ) in combination with Global Positioning System (GPS) technology, traces of moving persons can be recorded digitally on real-time using GPS-enabled devices such as Smartphones, PDAs, Pads, and Cameras assigned to them. In this paper, we proposed a model for developing real-time human trajectory dataset capture software that uses GPS and Assisted-GPS Technologies on Smartphones for tracking and recording of such movement traces of individuals in African developing country, Nigeria. Some smartphones installed with the model (RT-HTDC software) were tested in geographical areas of Federal Capital Territory (FCT), Abuja, Nigeria, and samples of date/time-stamped location points of these smartphone-users were captured and recorded. These location points if connected sequentially can form trajectories (traces) of smartphone-users. Keywords: GPS, Assisted-GPS, Smartphones, location-log, Trajectory, Moving Objects

Understanding the current trends in mobile crowdsensing - a business model perspective: case MyGeo Trust

Crowdsensing and personal data markets that have emerged around it have rapidly gained momentum in parallel with the appearance of mobile devices. Collecting information via mobile sensors and the applications relying on these, the privacy of mobile users can be threatened, especially in the case of location-related data. In 2015, a research project called MyGeoTrust was initiated to investigate this issue. One aim of the project was to study the potential business models for a trusted, open-source crowdsourcing platform. This study, carried within the MyGeoTrust project, reviews existing literature about business models, location-based services, and open-source software development. It then investigates the relationship between these topics and mobile crowdsensing. As a whole, this thesis provides an overview on the development of location-based services, as well as the current trends and business models in crowdsensing. The empirical part of the thesis employs embedded case study methodology, acquiring empirical data from several sources. The analyzed case is the MyGeoTrust project itself, and other empirical data is collected via market analysis, interim reports, a user survey, and semi-structured interviews. This material forms the baseline for the empirical study and project-specific recommendations. The findings suggest that creating a two- or multisided platform is the most robust business model for mobile crowdsensing. The identified benefits of platform-based business models include facilitating the value exchange between self-governing groups and possibilities to build positive network effects. This is especially the case with open-source software and open data since the key value for users - or “the crowd” in other terms - is created through network effects. In the context of open business models, strategic planning, principally licensing, plays a central role. Also, for a differentiated platform like MyGeoTrust finding the critical mass of users is crucial, in order to create an appealing alternative to current market leaders. Lastly, this study examines how transformational political or legal factors may shape the scene and create requirements for novel, privacy-perceiving solutions. In the present case study, the upcoming European Union (EU) General Data Protection Regulation (GDPR) legislation is a central example of such a factor

Job Searching Mobile Application using Location Awareness

This document provides the description for the FYP project titled "job Searching Mobile Application using Location Awareness" .Location awareness is an important feature that could help the user to know the availability of job vacancy at their current location. However, the current job searching websites does not equip with this feature. Therefore, the objective of the research paper is to study how location awareness feature can be applied in job searching application using mobile computing as the platform. This mobile application was developed for Android Operating System, which it could help the user to search for part time job vacancy using location awareness feature. The location awareness features could be done in mobile application using the Global Positioning Technology (GPS) which it will detect the user's longitude and latitude. Subsequently, the longitude and latitude will be converted into strings and will be compared with the database. The data that match the database will be prompted to user. The mobile application has gone through the user acceptance test with 30 users has tested the software. Using Android, an open source operating system as the platform of the mobile application, it targeted the user with Android smart phone to benefit using this mobile application. As the conclusion, location awareness is a new feature that is relevant to job searching process and it has been proven with the development of this mobile application

Positioning Techniques with Smartphone Technology: Performances and Methodologies in Outdoor and Indoor Scenarios

Smartphone technology is widespread both in the academy and in the commercial world. Almost every people have today a smartphone in their pocket, that are not only used to call other people but also to share their location on social networks or to plan activities. Today with a smartphone we can compute our position using the sensors settled inside the device that may also include accelerometers, gyroscopes and magnetometers, teslameter, proximity sensors, barometer, and GPS/GNSS chipset. In this chapter we want to analyze the state-of-the-art of the positioning with smartphone technology, considering both outdoor and indoor scenarios. Particular attention will be paid to this last situation, where the accuracy can be improved fusing information coming from more than one sensor. In particular, we will investigate an innovative method of image recognition based (IRB) technology, particularly useful in GNSS denied environment, taking into account the two main problems that arise when the IRB positioning methods are considered: the first one is the optimization of the battery, that implies the minimization of the frame rate, and secondly the latencies due to image processing for visual search solutions, required by the size of the database with the 3D environment images

Seamless Positioning and Navigation in Urban Environment

L'abstract è presente nell'allegato / the abstract is in the attachmen

Asynchronous Ultrasonic Trilateration for Indoor Positioning of Mobile Phones

Spatial awareness is fast becoming the key feature on today‟s mobile devices. While accurate outdoor navigation has been widely available for some time through Global Positioning Systems (GPS), accurate indoor positioning is still largely an unsolved problem. One major reason for this is that GPS and other Global Navigation Satellite Systems (GNSS) systems offer accuracy of a scale far different to that required for effective indoor navigation. Indoor positioning is also hindered by poor GPS signal quality, a major issue when developing dedicated indoor locationing systems. In addition, many indoor systems use specialized hardware to calculate accurate device position, as readily available wireless protocols have so far not delivered sufficient levels of accuracy. This research aims to investigate how the mobile phone‟s innate ability to produce sound (notably ultrasound) can be utilised to deliver more accurate indoor positioning than current methods. Experimental work covers limitations of mobile phone speakers in regard to generation of high frequencies, propagation patternsof ultrasound and their impact on maximum range, and asynchronous trilateration. This is followed by accuracy and reliability tests of an ultrasound positioning system prototype.This thesis proposes a new method of positioning a mobile phone indoors with accuracy substantially better than other contemporary positioning systems available on off-theshelf mobile devices. Given that smartphones can be programmed to correctly estimate direction, this research outlines a potentially significant advance towards a practical platform for indoor Location Based Services. Also a novel asynchronous trilateration algorithm is proposed that eliminates the need for synchronisation between the mobile device and the positioning infrastructure