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Franc, Lukáš ; Porteš, Petr (referee) ; Zháňal, Lubor (advisor)
This master thesis deals with verifying whether it is possible to determine the external speed characteristic of the engine using sensors in mobile phone. For this verification were made driving tests, during which the driving data were measured with mobile phone. These data were processed in the calculation part in MATLAB. Results were compared with power measurement on chassis dynamometer and with two alternative methods of power measurement.
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Finger Position Tracking in 3D Space
Hegr, Miloš ; Šimek, Václav (referee) ; Malaník, Petr (advisor)
The aim of this work is to create a universal system for measuring data describing position in 3D space. This paper provides a theoretical overview of position description in 3D space and shows the possibilities of position reconstruction from sensor data. It gives a closer look at the RingOne hardware device, and finally proposes and implements a system for finger position reconstruction using this device. This system consists of the firmware for the RingOne device, a C language library allowing easy communication with the measuring device and a protocol defining the way data is transmitted and how the measuring device is configured. This work is also complemented by a modified Spacenavd driver for easy presentation of the measured data.
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Advanced sleep quality estimation
Benáček, Petr ; Ředina, Richard (referee) ; Filipenská, Marina (advisor)
This thesis deals with the assessment of sleep quality using modern deep learning methods. The thesis describes metrics for automatic classification of sleep stages. A selected database of sleep data is discussed. Due to the low number of data in the wakefulness phase, different methods of data augmentation are described and implemented. Models based on 1D convolutional networks are the basis for the classification. As a result, models for binary classification and classification of 3 and 4 sleep phases are prepared. Finally, sleep quality metrics are calculated using these models and the results are compared with the literature.
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Use of Mobile Device Sensors in a Car
Aron, Lukáš ; Široký, Vít (referee) ; Žák, Pavel (advisor)
This thesis analyses the use of an accelerometer commonly present in a mobile device for the measuring of vibration in a vehicle. Such measurements are used to map the quality of the road surface. The signal from the accelerometer and the current travelling speed of the vehicle are evaluated according to a threshold function. This function allows for a determination of whether the signal reported by the device signifies a pot-hole or another type of defect on the road surface. If the defect is determined to pose a threat to a vehicle travelling at higher speeds, then this fact is saved into the memory of the device. The second part of this thesis deals with the design of an internet and a mobile application, which is able to collect all measured data processes using cluster analysis and then shares the results with other participating devices. Tha practical results is that a map of road surface defect is thus created, which is then displayed to road users. This thesis deals with theory of mobile device sensors, including signal processing, as well as the design creation of the internet and mobile application.
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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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Augmented Reality for Mobile Devices for Precise Urban Navigation
Murín, Michal ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Diplomová práce je zaměřená na rozšířenou realitu a její realizaci pro mobilní platformu Android. V teoretické části je kladen důraz na obeznámení se s principy rozšířené reality, možnostmi její realizace pro mobilní platformu Android, která je také podrobněji představena. V praktické části se dále zaměřuje na návrh a realizaci knihovny a aplikace využívající tuhle knihovnu pro tvorbu rozšířené reality na platformě Android pomocí GPS a polohových senzorů. Aplikace slouží jako navigace a zobrazuje cestu ke konkrétnímu cíly, jak v podobě rozšířené reality, tak i na klasické dvourozměrné mapě. Práce podrobně popisuje navrhované řešení knihovny a aplikace a jejich implementaci. Nakonec popisuje testování, zhodnocuje dosažené výsledky a diskutuje nedostatky výsledného řešení a možnosti jeho vylepšení, respektive rozšíření.
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Flight statements electronic sensor.
Harant, Josef ; Fedra, Zbyněk (referee) ; Šebesta, Jiří (advisor)
This diploma thesis deals with theoretical analysis, design and practical solution of flight statements electronic sensor. This device is primarily intended for measuring telemetry data during aerobatic flights. Theoretical part contains fundamentals of GPS and inertial navigation systems. Design of the device is divided into three parts - design of block structure, construction and software for the measuring device. The final realization is made with respect to minimal system requirements and to possible future extensibility for wider usage spectrum.
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Accelerometer-based monitoring of steering wheel angle
Navrátil, Tadeáš ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
This thesis deals with the design of a device which will be used for measuring the steering wheel angle. Main goal was to design basic concept of device which is using data gathered from three accelerometers in the reconstruction algorithm to get steering wheel angle. Discussion of various reconstruction algorithms (with regards to simulated output noise levels from acceleromater) and final Implementation of reconstruction algorithm (in MATLAB simulink enviroment) is also part of this thesis. Furthermore, thesis deals with the selection of suitable components. Mainly selection of accelerometers, microcontroller and the selection of a suitable communication bus for mutual communication between them. Thesis also deals with design improvements of algorithm and realization of the whole device. In the end, we compare results of measuring device and inner senzor of steering wheel.
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