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Monitoring fitness activities using a wearable device
Toman, Adam ; Trčka, Tomáš (referee) ; Tofel, Pavel (advisor)
Bachelor thesis deals with the issue of fitness tracking with wearable device. Theoretical part describes the historical development of wearable devices, the base theory behind fitness activities and resistence training and methods of using of wearable devices for classification and evaluation of these activities. Aim for the practical part of this thesis was to develop an algorithm able to classify and evaluate activities through chosen recorded metrics. Practical part is followed by overall result evaluation and discussion.
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Upper limb movement analysis
Toláš, Štěpán ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
This master's thesis investigates the use of inertial measurement units (IMUs) for the analysis of upper limb movements with a focus on their use in rehabilitation. Using accelerometers, gyroscopes and magnetometers, IMUs provide comprehensive data on limb orientation and dynamics. A pilot study was conducted to appropriately process the available data, develop a measurement protocol and an application to visualize the movement data.
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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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Failure analysis based on measurement of vibrometric data
Jánoš, Vít ; Klusáček, Stanislav (referee) ; Šedivá, Soňa (advisor)
This paper deals with the analysis of vibration data from a screw compressor. A single axis piezoelectric sensor is used for the measurements. Within the scope of this work, a software is developed to retrieve the measured data through REST API and perform further processing such as frequency spectrum analysis, envelope analysis or signal cepstrum calculation. An algorithm to compute a fast kurtogram has also been implemented. Kurtogram is used for determination of demodulation band prior to envelope analysis The measured data and the indicators from the analyses are stored in a database.
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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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