National Repository of Grey Literature 47 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
Back-bone deformation analysis using modern sensors
Fiala, Vojtěch ; Janoušek, Oto (referee) ; Čmiel, Vratislav (advisor)
This bachelor thesis summarizes the knowledge of the medical and technical field related to the project. In the medical section, there are mainly described areas of kinesiology and medicine related to the causes and risk factors leading to problems and diseases of the spine. In addition to the description of the disease, there are also presented the diagnostic solutions and treatment. The content of the medical part of the thesis is also a look at some commercially available products dealing also with postural problems. Part of the technical part is acquaintance with the Arduino platform and the components that are included in the practical part of the bachelor thesis. In the technical part, the area of motion sensors such as accelerometers, IMU sensors and gyroscopes are also described in more detail. Especially there is described IMU MPU-6050, which is used in this project. Further, the thesis describes the procedure in the practical part of the project, including the design of the positioning of the sensors with the positions in which the data are measured, as well as the design of the assembly and its optimization. Subsequently, the final appearance of the device, including the method of attachment on the body, and the measurement results are shown. Results are later commented and discussed. The final part of the thesis is the final summary of the results achieved and the reflections on the possibilities of further work or further adjustments and modifications of the existing equipment.
Utilization of Motion Sensor Data for User Activity Analysis
Eršek, Martin ; Zemčík, Pavel (referee) ; Beran, Vítězslav (advisor)
This bachelor thesis aims to provide a design and implementation of an algorithm for analysis of user activity based on data from motion sensors. The thesis explores possibilities of classification and counting repetitions of 7 basic body-weight exercises, namely: push ups, squats, planks, sit-ups, seated knee raises, tricep dips and lunges. Data from motion sensors are collected by a mobile device located in top pocket of exercising user's trousers. Selection of used methods and their parameters as well as number and type of extracted features is chosen with regard to low computational complexity. When designing a solution, emphasis was put on the fact that it is irrelevant how the device is positioned in the user's pocket. For the thesis, a dataset containing 7 training sessions from 4 different users was created. Designed method was implemented as a desktop application with Command Line Interface and consequently validated on the created dataset. The solution was able to reach metrics of F1-score in range 45.3 % - 74.9 % for analysis and counting repetitions of an unseen user's training session. For an unseen training session of a known user, the metrics of F1-score was up to 94 %.
Trilobot Upgrade
Polášek, Patrik ; Hrubý, Martin (referee) ; Rozman, Jaroslav (advisor)
The main aim of this work is to create a robot moving on wheels, create communication among all the sensors and microcomputers with the help of the Robot Operating System (ROS). Sensors are mounted on a plastic handle that is printed on 3D printer. The Arduino microcomputer manages low-level signals for reading sensor data and signals to control the engine, the another one and more powerful ODROID-XU4 microcomputer runs the core of ROS and a graphical application that allows controlling robot on the touchscreen.
Browse the Map on Your Mobile Device by Moving the Device
Pohrebniak, Yehor ; Milet, Tomáš (referee) ; Beran, Vítězslav (advisor)
This thesis focuses on the creation of a mobile application that presents a map and based on the movement of a mobile device in space, represents a sliding map camera. The theoretical part is focused on acquaintance with available technologies and design of a system of data processing methods from inertial measuring units of mobile devices and video from the smartphone camera. The practical part is focused on the implementation of mobile application that obtain data from motion sensors and move the map
Inertial measurement unit for mobile robots
Kraus, David ; Lamberský, Vojtěch (referee) ; Vejlupek, Josef (advisor)
Bachelor thesis Inertial measurement unit for mobile robots is focused on problem determination of position using inertial sensors. First part is reviw of available sensors and methods of processing data from sensors. Second part is implementation of chosen method and sensors in simulation and use it at real HW.
Flight properties of discgolf disc
Valík, Tomáš ; Sekora, Jiří (referee) ; Hanák, Petr (advisor)
Even through the rising popularity of disc golf all around the world, there aren't many solutions on how to compare individual throws, other than by observing. By placing inertial sensors on the bottom plate of the disc, an average rotation frequency was obtained by an algorithm. By comparing six methods of evaluation with reference values measured with the Qualisys system, the best method returns an average percent error of 2,66 %. Based on this result a test comparing two throws, backhand and forehand, was made, with average values of 14,22 and 11,46 revolutions per second. Two sample t-test rejected null hypothesis at the 0,05 significance level with p-value 2,101*10^(-18).
Localization of device in wireless environment
František, Milan ; Komosný, Dan (referee) ; Botta, Miroslav (advisor)
The work is focused on localization in wireless networks and localization using inertial measurement units. There is also included a theoretical analysis of used localization techniques. The work also describes how to create application for data collection, application for receiving and processing data and used database. In conclusion of this work is verifying the functionality of whole system.
Accuracy analysis of current GNSS sensors
Jabůrek, Ondřej ; Sláma, Jiří (referee) ; Bureš, Jiří (advisor)
The purpose of this thesis is to test and analyze the accuracy of detemining the position and heights of contemporary GNSS receivers in RTK mode using the network of permanent stations CZEPOS with VRS3 - iMAX - MSM product. The test procedures are intended to provide representative results with potential use in conventional surveying applications. The goal of the thesis is to obtain measured data, analyze this data and evaluate the results. Based on this results we should be able to compare the tested devices. The comparison is intended to carry out an information that will help us to select a more suitable receiver for a particulat application in the common practice of surveyor.
Application of SLAM algorithms for 4WS vehicle
Najman, Jan ; Krejsa, Jiří (referee) ; Grepl, Robert (advisor)
This paper deals with the application of SLAM algorithms on experimental four wheel vehicle Car4. The first part shows the basic functioning of SLAM including a description of the extended Kalman filter, which is one of its main components. Then there is a brief list of software tools available to solve this problem in the environment of MATLAB and an overview of sensors used in this work. The second part presents methodology and results of the testing of individual sensors and their combinations to calculate odometry and scan the surrounding space. It also shows the process of applying SLAM algorithms on Car4 vehicle using the selected sensors and the results of testing of the entire system in practice.
Determining of Dron Localization Using Navigation Systems
Nosál, Jan ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The thesis describes problems of drone navigation using navigation systems with which the navigation modules that have been tested are able to work. Next the issue with flight path and the determination of the incline and direction of the flight of the drones was solved also. Drones are more and more popular devices used for military, agricultural and commercial purposes. The thesis contains information about most used navigation systems which we encounter every day especially in cars and aircrafts. There were tested two navigation modules for drone localization. Modules capable of handling five navigation systems GPS, Glonass, Galileo, Beidou, QZSS and they can communicate with the Arduino board and IMU controller for drone positioning.

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