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Sport Assistant for iOS
Fišer, Jakub ; Janoušek, Vladimír (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create a mobile phone application for iOS, that would be used for recording all sport activities of a person. The application can record activity using GPS or count the exercise manually, automatically at time intervals or by motion sensor. For recognition of moves while using motion sensor was developed a library called Motion Recognizer. The application uses HealthKit framework. The application also offers an opportunity of planning a sport activity by using Trainer objects. It uses Core Data framework while working with data and it backs up the data on iCloud.
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An Application for Tracking of Alcohol in Blood
Nácar, Arthur ; Zbořil, František (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create mobile applications for iOS devices and a smartwatches with WatchOS that allows the user to monitor blood alcohol content over time. The application is implemented in Swift language and it uses Apple HealthKit framework to access the user's personal data. Predictions of blood ethanol content are calculated using a simulation model that takes into account the resorption phase of ethanol and uses the extended Widmark method to estimate the course of the elimination phase. The result of this work is an application that provides the user with information about the time needed to get a sober and detailed overview of the course of blood alcohol concentration using several available metrics.
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Mobile Sport Advisor for Athletics Training
Schmelcer, Lukáš ; Smrčka, Aleš (referee) ; Hrubý, Martin (advisor)
This bachelor thesis aims to design, implement and test a mobile training application for the iOS platform. The application should allow the user to meet running goals faster, while the risk of injury should be minimized. The application was designed to meet the requirements of the target group. Due to user frequent feedback, the final application has a very easy to understand user interface, in which the user has an overview of the planned running training.
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An Application for Tracking of Alcohol in Blood
Nácar, Arthur ; Zbořil, František (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create mobile applications for iOS devices and a smartwatches with WatchOS that allows the user to monitor blood alcohol content over time. The application is implemented in Swift language and it uses Apple HealthKit framework to access the user's personal data. Predictions of blood ethanol content are calculated using a simulation model that takes into account the resorption phase of ethanol and uses the extended Widmark method to estimate the course of the elimination phase. The result of this work is an application that provides the user with information about the time needed to get a sober and detailed overview of the course of blood alcohol concentration using several available metrics.
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Mobile Sport Advisor for Athletics Training
Schmelcer, Lukáš ; Smrčka, Aleš (referee) ; Hrubý, Martin (advisor)
This bachelor thesis aims to design, implement and test a mobile training application for the iOS platform. The application should allow the user to meet running goals faster, while the risk of injury should be minimized. The application was designed to meet the requirements of the target group. Due to user frequent feedback, the final application has a very easy to understand user interface, in which the user has an overview of the planned running training.
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|
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Sport Assistant for iOS
Fišer, Jakub ; Janoušek, Vladimír (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create a mobile phone application for iOS, that would be used for recording all sport activities of a person. The application can record activity using GPS or count the exercise manually, automatically at time intervals or by motion sensor. For recognition of moves while using motion sensor was developed a library called Motion Recognizer. The application uses HealthKit framework. The application also offers an opportunity of planning a sport activity by using Trainer objects. It uses Core Data framework while working with data and it backs up the data on iCloud.
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