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Mobile application for depressive states monitoring
Kamenská, Veronika ; Bartoň, Vojtěch (referee) ; Škutková, Helena (advisor)
The bachelor thesis named Mobile application for monitoring of depressive states has the goal of creating a functional mobile application using the MIT app inventor. This application offers several tests used to determine the user's mental state and options for sending the data. Part of the thesis is also the development of computer software using Python. This software can be used by psychologists to view and evaluate the patient's mental state. To streamline work between consultations, a part of the thesis also aims to create a PC software that uses the data gathered by the application to help psychologists evaluate the condition. And at the end of the work, to statistically evaluate the test results obtained during the winter semester of 2020.
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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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Quantitive optical analysis using cell phone
Petlák, Daniel ; Svoboda, Ondřej (referee) ; Čmiel, Vratislav (advisor)
This bachelor‘s thesis discusses methods for the quantitative colorimetric analysis using a cell phone and a design of my own analyzer. Theoretical part deals with basic characteristics of light and division of optical spectral analysis, which is described by several optical methods. The bachelor’s thesis also contains the division of colorimetric analyzers according to their types. The most important part is focused on a colorimetric analysis using the cell phone and familiar with the possibilities of analysis of liquids and solid samples. The practical part deals with the design of a separate analyzer using the cell phone, developed application including the possibility of calibration values of prepared samples and subsequent evaluation of ion concentration in unknown sample. For the accuracy of the results is made dark light-tight cover printed by 3D printer.
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Mobile application for depressive states monitoring
Kamenská, Veronika ; Bartoň, Vojtěch (referee) ; Škutková, Helena (advisor)
The bachelor thesis named Mobile application for monitoring of depressive states has the goal of creating a functional mobile application using the MIT app inventor. This application offers several tests used to determine the user's mental state and options for sending the data. Part of the thesis is also the development of computer software using Python. This software can be used by psychologists to view and evaluate the patient's mental state. To streamline work between consultations, a part of the thesis also aims to create a PC software that uses the data gathered by the application to help psychologists evaluate the condition. And at the end of the work, to statistically evaluate the test results obtained during the winter semester of 2020.
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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.
|
|
|
Quantitive optical analysis using cell phone
Petlák, Daniel ; Svoboda, Ondřej (referee) ; Čmiel, Vratislav (advisor)
This bachelor‘s thesis discusses methods for the quantitative colorimetric analysis using a cell phone and a design of my own analyzer. Theoretical part deals with basic characteristics of light and division of optical spectral analysis, which is described by several optical methods. The bachelor’s thesis also contains the division of colorimetric analyzers according to their types. The most important part is focused on a colorimetric analysis using the cell phone and familiar with the possibilities of analysis of liquids and solid samples. The practical part deals with the design of a separate analyzer using the cell phone, developed application including the possibility of calibration values of prepared samples and subsequent evaluation of ion concentration in unknown sample. For the accuracy of the results is made dark light-tight cover printed by 3D printer.
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