Web and mobile based solutions for GPS trail visualizer

• Main Author: Lee, Sai Mun
• Other Authors: Owen Noel Newton Fernando
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
• Online Access: http://hdl.handle.net/10356/70479
• Institution: Nanyang Technological University

In the modern world, there are numerous type of web and mobile applications that helps you track your running activity. Most of these applications requires the use of Global Position System (GPS) on GPS-enabled devices such as a fitness tracker or a mobile phone to track their running path. Such applications would retrace or map out a 2-dimensional view on a map based on the coordinates provided by these devices so that users can view, save or share these information with other people. However, what is lacking in these features is the ability to see beyond the 2-dimensional view of the path and that is being able to view a 3-dimensional view of the trail itself. This project’s approach utilizes an existing JavaScript library called the Hyperlapse.js which uses Google Street View Images as its source material to create Hyperlapse photography – a technique combining time-lapse and sweeping camera movements typically focused on a point-of-interest. This allows users to view their recorded path with better visual appealing effects in 3D. Information collection begins when the user starts GPS tracking using GPS fitness trackers or their Android/iOS mobile devices during their run. GPS data is then uploaded to Strava, a web platform for users who wish to track and record their athletic activity by uploading their fitness data onto the platform. GPS Trail Visualizer then makes a GET request to query the GPS data for processing and generation of the Hyperlapse video. This video is sharable to other social media platform such as Facebook, Twitter and Google+ to allow other people to view and enjoy the video.