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Sleep quality assessment
Dokoupilová, Daniela ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
The topic of this bachelor thesis is quality sleep assessment using signals acquired from Apple Watch. From measured signals – heart rate and motion, were extracted parameters for sleep classification using statistical testing. These parameters were later used for training the support vector machine model. The model was first trained to classify Wake and Sleep, then also to classify Wake, REM and NREM stages. The accuracy of Wake/Sleep classification was about 80 %. The accuracy of Wake/REM/NREM classification exceeded 58 %. Finally, sleep quality parameters were calculated and compared to the data rated by a sleep expert. The outcome for Wake/Sleep classification was close to the expert evaluation. The model for Wake/REM/NREM classification was less accurate and differed mainly in parameters concerning Wake stage.
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Advanced scoring of sleep data
Jagošová, Petra ; Novotná, Petra (referee) ; Ronzhina, Marina (advisor)
The master´s thesis is focused on advanced scoring of sleep data, which was performed using deep neural network. Heart rate data and the movement information were used for scoring measured using an Apple Watch smartwatch. After appropriate pre-processing, this data serves as input parameters to the designed networks. The goal of the LSTM network was to classify data into either two groups for sleep and wake or into three groups for wake, Non-REM and REM. The best results were achieved by network doing classification of sleep vs. wake using the accelerometer. The statistical evaluation of this best-designed network reached the values of sensitivity 71,06 %, specificity 57,05 %, accuracy 70,01 % and F1 score 81,42 %.
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Metronome for the Android Mobile Device
Pomkla, František ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The purpose of this project is the implementation of metronome for smartphone with OS Android and smartwatch with OS Tizen. Both applications provide asynchronous functionality of metronome as well as data sharing through Bluetooth connection. These metronome applications should help musicians in music bands. It allows to save specific song's tempo into playlists and than share them via Bluetooth connection with smartwatch application. The smartwatch application produces vibrations instead of click sound. Other smartphone metronome functionality is to scan drum stroke by internal device microphone and compare it with metronome beat. The programming languages C# and Java with SQLite databases were used for implementation.
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Sleep quality assessment
Benáček, Petr ; Králík, Martin (referee) ; Ronzhina, Marina (advisor)
The topic of this bachelor thesis is an automatic sleep quality assessment using artificial neural network. To assess the quality of sleep were used the movement and heart rate data measured by Apple Watch smartwatch. From these data, statistical variables were calculated. Then were they used as an input to the neural networks. The goal was to automatically identify sleep and wakefulness. In this case, the sensitivity was 89 % and the specificity was 70 %. These values are comparable with other studies. Furthermore, the data were also divided into categories W (wakefulness), NON REM and REM. Parameters evaluating sleep quality, such as TST, % REM or sleep latency, were derived from the output of the neural networks created.
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A Watch To Watch: Ethnography of User's Experience with Apple Watch
Zavoral, David ; Stöckelová, Tereza (advisor) ; Abu Ghosh, Yasar (referee)
This thesis builds upon ethnography of Apple Watch user experience and explores its connections with Apple's different branding strategies such as official website advertisements for Apple Watch Series 4, Supplier Responsibility Progress Report (2019) and Today at Apple sessions held in Apple Stores. I draw on sociomaterial approaches with special emphasis on John Law's (2004) method-assemblage and the feminist critique of ANT managerial vision that allow me to conceptualize corporate practices as means of enacting singular and coherent commercial out-thereness and absences. The goal of this thesis is to explore possible connections between the user's experience and the corporate branding strategies which craft a series of commercial realities in order to translate the needs of other actants and enroll them in its corporate network. This paper also argues that ambivalence is central to this process as corporate branding is being constantly reshaped and reconfigured by both the branding strategy itself and the actants involved. Chapter I provides a semiotic analysis of advertisements inspired by Woolgar's (1990) concept of moral universe. The second chapter follows with examining the Progress Report which provides information on the production processes that are completely absent in exclusively...
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Drummer's Metronome for Smartphone and Smartwatch
Ondráček, Aleš ; Zemčík, Pavel (referee) ; Herout, Adam (advisor)
The purpose of this thesis is to create a drum metronome smartphone application, which would allow rhythm patterns to be stored in playlists. These would then be used to assist the drummer while playing at rehearsals and at smaller or medium-sized concerts. Key properties of the smartphone application design include the ability to be controlled wirelessly via bluetooth, by a smartwatch application. The final product consists of two interconnected parts: a smartphone metronome application, and a smartwatch control application.
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Applications for Wearable Devices based on Android Wear OS
Šmejkal, Petr ; Zeman, Kryštof (referee) ; Hošek, Jiří (advisor)
The semestral project "Application for Android Wear wearables” describes basic principles of the communication network - M2M (machine to machine), H2H (human to human) and D2D (device to device). It is also focused on wearables especially smart watches, available operation systems for smart watches and system Android, Android Wear. In the practical part is described functionality, design and structure of developed application for Android wear smartwatch.
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