Identification of obtaining incorrect values from the GSR sensor during skin resistance measurements

The paper deals with the analysis of problematic values from the galvanic skin response (GSR) sensor obtained during the conducted research aimed at the correlation of physiological functions and emotional state of a person through the measurement of skin response. The experiment involved primary school students who were monitored during various activities. Skin response data was systematically recorded and sent to a central database using the Arduino UNO platform. The study identified the dynamics of skin response in relation to emotional state and various activities. However, technical problems were identified during the experiment, in particular the recurrent non-standard occurrence of zero values. These were analyzed and addressed through sensor calibration. The integration of the GSR sensor with the Arduino UNO and subsequent optimization of the power supply resulted in stable and reliable operation of the sensor. The improved data quality confirms the success of the corrective measures.