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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Evgeniia Kopytova
Development of Management Decision-Making Systems Based on Employee Activity Data
2019
The presented final qualifying work presents a device that collects and analyzes the readings of the pulse, accelerometer and temperature sensors. This system can be widely applied in corporate structures of large companies, since the generalized sensor readings can be presented as a visual color indicator. This indicator reflects the physical and emotional state of a person at the moment. Moreover, the data sent by the device to cloud platforms can be analyzed by the company's personnel team or by the employee personally. This system allows you to increase the productivity of the workflow, monitor the improvement of the state of employees during the day. In the course of the work done, a prototype of the device based on the Arduino Nano was assembled with the additional function of transmitting information via a Bluetooth module.

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