AUTONOMINĖS EMOCIJŲ NUSTATYMO SISTEMOS VYSTYMAS
DEVELOPMENT OF AN AUTONOMOUS FRAMEWORK FOR EMOTION RECOGNITION

Summary/Abstract: An approach of development of an autonomous emotion re-cognition system for creating of an intelligent e-health care environment is described. The process of emotion recognition is based on measurements of very small physiological signals taken from electrodes noninvasively attached on human body. The amplified ECG, EDA, and human’s body temperature si-gnals are used in the model for emotion recognition. The ECG, EDA, and human’s body temperature data acquisition module is designed based on usage of AD620 type instrumentation ampli-fier and ATmega16 microcontroller. To realizing actual emotion recognition process, the following data pre-processing steps are described in this paper: the phases of amplifying, discrimina-tion, filtering, recording, and storing into database of the sys-tem. The steps of development of recently proposed of new experimental environment for digital data acquisition and repre-sentation, the multi-chanel oscilloscope called as Atmega Osci-lografas are described in this paper. The original 10 bit data transferring algorithm has been discussed based on incremental usage of 8 bit data for effectively realizing of USART protocol of Atmel microcontrollers.

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