Detection of human functions with sensors and mobile devices

Wearable Health Technology is one of the fields that uses different sensors for operation. Due to development of sensors technology this field is more and more popular. In the thesis is presented a mobile solution for Android system, which takes part of this field and uses different sensors technologies. The main goal is to achieve an automated solution for mobile device that can inform others in case of falling or heart attack of a person. In the development of this solution were used technologies like heart rate BLE (Bluetooth Low Energy) sensors, accelerometers, GPS (Global Positioning System) and some others that are part of research. Focus in the second part is put on individual implementation of technologies and used algorithms for detect falling and different movements. Presentation of main activities, structural composition, functionality and app working are described in third part, which additionally includes the results of testing and future improvements of individual modules