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Analysis of AHRS unit robustness
Honkyš, Pavel ; Králík, Jan (referee) ; Spáčil, Tomáš (advisor)
This work deals with the measurement of low cost MEMS sensors and their measurement inaccuracy caused by acceleration, this effect is described as G-sensitivity. The aim was to put the test station into operation, to design electronics containing a microcontroller, which sends the measured information to a computer using a wireless module, here to estimate the angle of rotation of the sensor using a suitable algorithm and to design a compensation algorithm to suppress the effect of acceleration. The measured data were processed using Madgwick's algorithm, where the error of the measured angle of rotation occurred during the action of acceleration.
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Smartphone-based fall detection
Strejček, Jakub ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This bachelor thesis deals with basic processing of data from accelerometer in smartphone, which is used for fall detection of people. By right detection we could prevent many serious injuries caused by delayed help to people, who were unable to call for help. This paper focuses on the mechanisms of falls and their characteristics and also on hardware used for fall detection. Furthermore, already created Android applications from Google Play and their functionality are studied. In addition to that there were collected data about people falls and an algorithm for detection of fall was created in Matlab. Android smartphone application was developed and tested in this work.
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Analysis of AHRS unit robustness
Honkyš, Pavel ; Králík, Jan (referee) ; Spáčil, Tomáš (advisor)
This work deals with the measurement of low cost MEMS sensors and their measurement inaccuracy caused by acceleration, this effect is described as G-sensitivity. The aim was to put the test station into operation, to design electronics containing a microcontroller, which sends the measured information to a computer using a wireless module, here to estimate the angle of rotation of the sensor using a suitable algorithm and to design a compensation algorithm to suppress the effect of acceleration. The measured data were processed using Madgwick's algorithm, where the error of the measured angle of rotation occurred during the action of acceleration.
|
|
|
Smartphone-based fall detection
Strejček, Jakub ; Smital, Lukáš (referee) ; Němcová, Andrea (advisor)
This bachelor thesis deals with basic processing of data from accelerometer in smartphone, which is used for fall detection of people. By right detection we could prevent many serious injuries caused by delayed help to people, who were unable to call for help. This paper focuses on the mechanisms of falls and their characteristics and also on hardware used for fall detection. Furthermore, already created Android applications from Google Play and their functionality are studied. In addition to that there were collected data about people falls and an algorithm for detection of fall was created in Matlab. Android smartphone application was developed and tested in this work.
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