Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64792
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dc.contributor.authorHou, Zhongyu
dc.date.accessioned2015-06-04T04:07:07Z
dc.date.available2015-06-04T04:07:07Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/64792
dc.description.abstractBluetooth low energy, also known as BLE, is an upgraded version of Bluetooth 3.0, which consumes less power compared to the older version but with more amazing features such as healthcare, pedometer, intelligent instrument and sensors etc. BLE significantly expands the markets of Bluetooth, making it increasingly popular among people. In this dissertation project, the core peripheral is called TI BLE sensor tag, which can be considered as a new generation of wearable device that allows developers to measure different kinds of parameters. There are 6 low-power sensors on one sensor tag that can detect temperature, humidity, pressure, acceleration, gyration and magnetism in real time. So far there are only a few mobile applications available on App Store that make use of sensor tag. Furthermore, people are paying more attention on the fitness, but the existing fitness apps on the App Store just teach users the methodology and use the gyroscope and GPS in the mobile devices itself to make things happen. None of them can connect to a peripheral to make the fitness more effective and more precise. Based on the current situation, the author decided to combine the peripheral and some reasonable methodologies together by developing a weight training mobile application for iPad. This mobile application fully utilizes the TI BLE sensor tag that allows users to calculate calorie consumption precisely and exercise more effectively. Additionally, it also involves health care including temperature and humidity alert. It also allows motion control and recognition that enables user to control the application based on the motions.en_US
dc.format.extent94 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineeringen_US
dc.titleWeight training mobile application for ipad based on Ti BLE sensor tagen_US
dc.typeThesis
dc.contributor.supervisorSoong Boon Heeen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Communications Engineering)en_US
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