02113nas a2200217   4500000000100000000000100001008004100002260001200043653001900055653002400074653002300098100001800121700001800139700001600157245006000173856009900233300001000332490000600342520153300348022001401881       2016                            d  c09/201610aClassification10aEmotion recognition10aFacial recognition1 aMartin Magdin1 aMilan Turcani1 aLukas Hudec00aEvaluating the Emotional State of a User Using a Webcam  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/06/ijimai20164_1_12_pdf_20682.pdf  a61-680 v43 aIn online learning is more difficult for teachers identify to see how individual students behave. Student’s emotions like self-esteem, motivation, commitment, and others that are believed to be determinant in student’s performance can not be ignored, as they are known (affective states and also learning styles) to greatly influence student’s learning. The ability of the computer to evaluate the emotional state of the user is getting bigger attention. By evaluating the emotional state, there is an attempt to overcome the barrier between man and non-emotional machine. Recognition of a real time emotion in e-learning by using webcams is research area in the last decade. Improving learning through webcams and microphones offers relevant feedback based upon learner’s facial expressions and verbalizations. The majority of current software does not work in real time – scans face and progressively evaluates its features. The designed software works by the use neural networks in real time which enable to apply the software into various fields of our lives and thus actively influence its quality. Validation of face emotion recognition software was annotated by using various experts. These expert findings were contrasted with the software results. An overall accuracy of our software based on the requested emotions and the recognized emotions is 78%. Online evaluation of emotions is an appropriate technology for enhancing the quality and efficacy of e-learning by including the learner´s emotional states.  a1989-1660