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Indoor Positioning Based on Inertial Measurement Unit
Coufal, Marek ; Vychodil, Josef (referee) ; Král, Jan (advisor)
This bachelor’s thesis deals with inertial navigation intended for indoor usage. The algorithm for processing accelerometer and gyro data is described along with their position in equations of motion. Various coordinate systems are defined for ease of manipulation of vector quantities, including conversions and rotations between frames. The thesis also addresses the design of the hardware for the inertial unit, including the minimum requirements for fast data recording. Some chapters are dedicated to the design of the printed circuit board and the implementation of the device, followed by the development of firmware and software for data logging and processing.
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Security Risks of Mobile Device Sensors
Henclová, Kateřina ; Polčák, Libor (referee) ; Hranický, Radek (advisor)
Tato práce představuje hrozby pro mobilní bezpečnost a soukromí, které představují mobilní senzory. Představuje rozhraní Generic Sensor API, mobilní senzory a způsoby jejich zneužití. Pomocí mobilních senzorů, jako je akcelerometr, gyroskop a magnetometr, tato práce demonstruje takový útok na mobilní senzory v prohlížeči. Zvoleným útokem je rozpoznávání aktivity, které provádí predikci aktivit pomocí strojového učení se slibnými výsledky a předpovídá správnou třídu aktivit přibližně v 69% případů napříč všech tříd. Pozornost je věnována také rozšíření JShelter a tomu, zda poskytuje ochranu před nežádoucím odhalením senzorů.
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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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Recognition of vehicles using signals sensed by smartphone
Nevěčná, Leona ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
Thanks to the development in recent years, the placement of miniaturized sensors such as accelerometers, gyroscopes, magnetometers, global positioning system receivers (GPS), microphones or others to commercially sold smartphones is increasing. Use of these sensors (which are to be found in the smartphone) for human activity recognition with health care improvement in mind is a discussed theme. Advantages of the use of smartphone for human movement monitoring lies in the fact that it is a device that the person measured carries with them and there are no additional costs. The disadvantages are a limited storage and battery. Therefore, only accelerometer, gyroscope, magnetometer, and microphone were chosen because their combination achieves best results. GPS sensor was excluded for its lack of reliability in sampling and for being energy demanding. Features were computed from the measured data and used for learning of the classification model. The highest accuracy was achieved with the use of a machine learning method called Random Forest. The main goal of this work was to create an algorithm for transportation mode recognition using signals sensed by a smartphone. The created algorithm succeeds in classification of walk, car, bus, tram, train, and bike in 97.4 % with 20 % holdout validation. When tested on a new set of data from the tenth volunteer, the resulting accuracy counted as average form classification recall for each transportation mode reached 90.49 %.
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Hybrid Control System for Quadrocopter
Sojka, Stanislav ; Mlích, Jozef (referee) ; Dittrich, Petr (advisor)
This thesis deals with the design and theoretical description of the hybrid control system for quadrocopter. First, a mathematical model is presented, sensors needed for development and their principles. This work shows the system architecture design and scheme of communication channels between the blocks. Implementation section discusses specific uses of computing nodes/sensors and their settings. In this thesis there are illustrated messages sent between computing nodes and the control loop machine. It also describes how to test the sensors, measurement results and techniques for improvement.
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Material position tracking in production hall
Sládeček, Michal ; Otáhal, Alexandr (referee) ; Hejátková, Edita (advisor)
This diploma thesis describes implementation of an indoor positioning system for tracking the location and movement of material and products through the manufacturing plant. The system is designed with regards to simple installation and low overall implementation costs. It utilizes method of Wi-Fi and magnetic field fingerprinting. The system employs a client hardware (active tag with Wi-Fi module and sensors designed for this project) communicating with a server software which does the mapping and fingerprinting processing. Finall positioning system is prepared to collect locations data for further analysis aiming to improve efficiency of manufacturing processes.
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3D controller
Hrubý, Lukáš ; Fujcik, Lukáš (referee) ; Bohrn, Marek (advisor)
The following work deals with problems of scanning of device position in space, processing of collected data about its position and sending these data to end device. In scope of this work will be created special controller which will use accelerometer, gyroscope and magnetometer to scan its actual position in respect to Earth and it will wirelesly send its position to controlled device. Individual components for proposal will be chosen based on previous experience and available documentation.
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Řezníček, Pavel ; Dlugoš, Jozef (referee) ; Zháňal, Lubor (advisor)
This diploma thesis deals with possibility of using a mobile phone to measure vehicle dynamics and determine the accuracy of this measurement. In the research part, it is first mentioned what methods are used to produce sensors for mobile phones. Next, a description of individual sensors that can be used for vehicle dynamics measurement, the principle by which the sensors record measured values and their inaccuracies. The practical part shows with which professional device the accuracy of the mobile phone is compared, how data can be collected from both devices and how the comparison measurement was performed. This section also describes the ways in which the measured data of the mobile phone can be improve for better accuracy, and finally the comparison of the measured values from both devices from different points of view.
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9DOF module for orientation measurement
Hojdík, Matej ; Šebesta, Jiří (referee) ; Frýza, Tomáš (advisor)
This thesis deals with a design of 9DOF module for the evaluation of orientation in space. The thesis includes a theoretical description of sensors, mathematical apparatus for rotating and the Kalman filter. The practical part deals with the design of hardware, firmware and software, whereby the mathematical formulas set out in the theoretical part are applied. In the last part a testing of the created module is presented.
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