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|Title:||Target tracking and following algorithms for smart wheelchair system for airport passengers with reduced mobility||Authors:||Lee, Jia Jun||Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2017||Abstract:||In line with the social and demographic changes in our society, Changi Airport (Singapore) actually offers complementary wheelchair services. Passengers could request for the wheelchair service from the Information and Customer Service counters. These passengers are usually transported around the terminal by having a service staff pushing the passenger on a wheelchair to the designated place manually. However, the volume of users for this service is very much variable , thus this form of service transportation is labour intensive and very much inefficient as manpower is required to maintain the required service quality standards. Moreover, additional cost is incurred for a minimum workforce standing by to handle surges in service demand for particular arriving and departing flights. This project aims to develop a smart wheelchair system that enables the transportation of multiple passengers at a time with minimal human supervision without compromising on passenger safety and comfort. With the broad scope of the Smart Wheelchair system, the objective of this project will be focused on the development of an Android Application for the Smart Wheelchair operation. As the Smart Wheelchair requires the notebook programmes and coding for the starting up, running, and stopping of the operation, the Android Application will be developed to replace the necessity of the notebook, and also providing the user with a simple and functional user interface for operating the Smart Wheelchairs. The selected integrated development environment (IDE) used to develop the android application would be Android Studio, the official and recommended IDE for Android application development. The Android Studio’s coding is written in Java programming language. At the end of the project, the developed application’s stability and functionality were then tested with the Algorithm Flow Test, Signal Simulation Test, and lastly an actual test on the Smart Wheelchair operation. The tests had proven the application to be well-stable and fully functional.||URI:||http://hdl.handle.net/10356/71396||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
Updated on Nov 26, 2020
Updated on Nov 26, 2020
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