Epilepsy is a disability with a large research field but yet with little knowledge and understanding about finding a cure. The common idea as to why an epileptic seizure is triggered is because of over activity in the neurons of the brain. More than 60 000 people in Sweden suffer from epilepsy. Damages from an epileptic seizure can be life threatening if left uncontrolled and a solution is needed in order to detect and alarm if a seizure has appeared. This project refers to building a system that can detect a seizure and locate the position of the patient having the seizure. This system also creates the possibility for a contact person to take part of the information. As there were no persons with the diagnose epilepsy at hand, the project group decided that simulated seizures were necessary. Development of the system has been categorised into three subsystems. The subsystems are a bracelet unit, a mobile application and a cloud-service. The projects subsystems were developed and the system was completed. A bracelet unit was created. This bracelet is able to detect if an epileptic seizure has occurred. A Bluetooth low energy connection between the bracelet and the mobile application was enabled making it possible for an alarm to be sent to a contact person during a seizure.

The diploma thesis deals with the design of a single-wheel mobile robot, which is able to jump and collect samples weighing 2 Kg. The first part is devoted to the review of single-wheel robots. A brief analysis of single-wheel motion and a brief overview of jumping mechanism follow up. The second part describes problem analysis and five design variants. Using the multicriteria analysis, the variants were evaluated, and the optimal variant was chosen. The third partm is dedicated to the dynamic calculations and the mechanical design of the robot itself. The last part is devoted to economic evaluation and discussion with possible continuation in developing. The complete drawing documentation of the robot is included in this work.

This diploma thesis deals with design and realization of control board with controlling program for stabilization platform application. Thesis is splitted in to six parts. In first part of thesis are summarized required parameters and properties of proposed system together with explanation of necessary theoretical basics. In second part of thesis is made analysis of sensors which are designated for sensing necessary magnitudes. Namely then magnetometer, accelerometer, gyroscope. For every sensor is there made analysis of influence caused by parasitic effects. In conclusion of second part is made choice of concrete sensors by choosing sensory module. Third part deals with conception of mechanical solution. Fourth part of thesis deals with design and construction of control board and also with description of circuit functional blocks. This is followed with fifth part which describing program equipment of board with setting up sensory module. In last part of thesis are described conclusions of testing.

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.

This diploma thesis presents theoretical information regarding MEMS gyroscopes their parameters and designs. The description of measurement chain be used for testing of MEMS gyroscopes in Honeywell International s.r.o. is presented. Special focus is devoted to: the Polytec MSA-500 system, the Standa goniometers and their controller, Peltier cell and its driver. The practical part of this thesis contains the description of the thermal control system and also the description of the developed “Measurement system” in the LabVIEW software which is used for controlling the goniometers position and the Peltier cell. The system is able to fully control two goniometer stages, align the surface of tested MEMS device to orthogonal position with respect to the Polytec MSA-500 measurement head and also control the temperature of the tested device. The last part of this thesis presents the tests of the MEMS gyroscope parameters with special focus to the MEMS gyroscope angle random walk and the bias dependence on the vacuum quality of the structure environment.

This thesis is focused on the design and realisation of inertial navigation unit INS. The unit is capable to measure, store and send data to a PC in real-time for a later offline processing. The first part of the thesis introduces the reader with the basic principles of accelerometers, gyroscopes and MEMS sensors. An introduction to coordinate systems and measuring errors is also included. The second and third part of the thesis deals with the analysis of the solution and the implementation of the INS unit. The fourth part of the document is dedicated to the software for the INS unit. This thesis concludes with explanation how the gathered data are processed.

This diploma thesis deals with the acquisition and classification of movement using accelerometer and gyroscope data. The theoretical part contains biomechanics of movement, sensors used in the motion analysis and customization options and classification of measured data. A description of the components of the acquisition system, its implementation and placement on the body of the measured person are introduced in this work as well. To verify the functionality of the device, measured data was compared with the data measured by mobile application Sense-it. Classification of motion was inplemented by two methods in the Matlab software environment. The first one uses a vector of three parameters, the other classifies the movement by the absolute value of the difference in signal deflections.

Detta examensarbete syftar till att hitta ett MEMS-gyroskop till W2000, en rengöringsrobot som finns hos Weda AB. Gyroskopet ska användas för att korrigera rengöringsrobotens kurs när den avviker från sin bestämda rutt. I dagsläget har inte W2000 någon sensor för att kunna rätta till sig. För att hitta det lämpligaste för rengöringsroboten så undersöktes ett antal MEMS-gyroskop genom att samla information och fakta samt kontakta olika företag för vägledning med vårt problem. Det MEMS-gyroskop som hittades och implementerades i W2000 var OMNI LPMS-CU2. Gyroskopet valdes på grund av att den hade samma utgångstyp och kommunikationsspråk som PLC:n som var inbyggd i W2000. Ett test utfördes för att se om det implementerade gyroskopet kunde kurskorrigera när den vreds från programmerade väg. Det blev ett lyckat resultat av testandet, W2000 kunde justera sig när den avvek. Examensarbetet föreslår rekommendationer och förbättringar för vidare arbete med det här projektet. Anledningen är att trots att det var ett tillfredställande resultat så var det bara det första steget för att göra W2000 optimal för att kunna använda gyroskopet och dess funktioner till fullo. Det måste göras ett antal mer tester och undersökningar på W2000 för att kunna implementera MEMS-gyroskopet i helhet. / The thesis work aims to find a MEMS gyroscope for the W2000, a cleaning robot available at Weda AB. The gyroscope will be used to correct the course of the cleaning robot when it deviates from its specified route. Currently the W2000 does not have a sensor to adjust. To find the most suitable gyroscope for the cleaning robot, several MEMS gyroscopes were examined by gathering information and contacting various companies for guidance with our situation. The MEMS gyroscope which was found and implemented in W2000 was OMNI LPMS-CU2. The gyroscope was chosen because it had the same output type and communication protocol as the PLC built into the W2000. A test was performed to see if the implemented gyroscope could correct the course as it was turned from programmed path. The result of testing was successful which shows that the W2000 was able to adjust when it deviated. The degree project proposes recommendations and improvements for further work on this project. Although it was a satisfying result, it was only the first step in making it functional. Several tests and investigations must be done on the W2000 in order to implement the MEMS gyroscope as a whole.to insert text

Gyroscopes have been used in previous studies to measure the peak angular velocity of the shoe or foot in the frontal plane (evVel). However, it is not clear whether different test conditions (footwear hardness or locomotion speed) can influence the accuracy of evVel. The purpose of the present study was to compare the accuracy of gyroscopes and electrogoniometers when measuring evVel and the time until evVel (t_evVel) in 12 different conditions using a single axis gyroscope attached to the heel cap. Twenty-four recreational runners were instructed to walk and run on a 15-m indoor track at four locomotion speeds (1.5, 2.5, and 3.5 m/s, and individual running speed) and in three footwear conditions (low to high hardness). The gyroscope data and electrogoniometer data were sampled at a rate of 1000 Hz. Comparisons between both measurement devices showed small mean differences up to 49.8 ± 46.9 deg/s for evVel and up to 5.3 ± 3.5 ms for t_evVel. Furthermore, strong relationships between gyroscope and electrogoniometer data were found for evVel as well as for t_evVel for all conditions. It can be concluded that gyroscopes can be used to accurately determine evVel and t_evVel under a variety of conditions.

Accelerometers and gyroscopes are used to detect foot strike (FS), i.e., the moment when the foot first touches the ground. However, it is unclear whether different conditions (footwear hardness or foot strike pattern) influence the accuracy and precision of different FS detection methods when using such micro-electromechanical sensors (MEMS). This study compared the accuracy of four published MEMS-based FS detection methods with each other and the gold standard (force plate) to establish the most accurate method with regard to different foot strike patterns and footwear conditions. Twenty-three recreational runners (12 rearfoot and 11 forefoot strikers) ran on a 15-m indoor track at their individual running speed in three footwear conditions (low to high hardness). MEMS and a force plate were sampled at a rate of 3750 Hz. Individual accuracy and precision of FS detection methods were found which were dependent on running styles and footwear conditions. Most of the methods were characterized by a delay which generally increased from rearfoot to forefoot strike pattern and from high to low midsole hardness. It can be concluded that only one of the four methods can accurately determine FS in a variety of conditions.