| Abstract: |  The main goal of this thesis Daily activity monitoring using a device with accelerometers is to choose the best variant of wearable device positioning for senior’s daily activities monitoring. Population is aging and considering this fact we can expect lot of changes in approach of the worldwide health system. It is of the utmost importance that seniors could remain at home as long as possible otherwise the healthcare will be costly. Thus the technical solution that will be able to monitor daily activities of seniors is needed.
The very wearable device with accelerometer was constructed. Assembling of measuring board is described. Principal components are Motion Processing Unit MPU-6050 and Bluetooth HC-06, both for Arduino platform. Experiments and experimental protocols to verify individual solutions of measuring wearable device positioning were designed. The three main exercises were Chair, Bed and Gait. Each of them contains two or more experimental protocols which are described in detail.
A tool in Matlab supporting evaluation according the developed methodology was designed. This tool helps with assessing of particular phases and markers in a given type of experiment. This method is subjective because of a hand-operated marking. Multiple-criteria decision analysis was used for evaluation.
First of all the experimental measuring with healthy participant was performed. Second part of experimental measuring was verification of experimental measuring with another healthy participant. The evaluation of the best position of a wearable device was done by the developed methodology.
Then the practical measuring with three seniors was performed. Seniors’ movement was different considering the experimental measuring when participants were strictly directed by experimental protocols.
The most interesting part of the measuring was analysis of the blind record for the final evaluation of suitability of the chosen wearable device positioning. The participant was freely moving in his own home environment. After the measurement was done it was evaluated without a knowledge of what exactly participant was doing during that time. Every movements and their phases were detectable in a signal of the blind record. Evaluation of the blind measuring was as successful. According to all these results the wearable device positioning on an arm is the best choice for daily activities monitoring.
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