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Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.
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Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.
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|
|
Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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