Quantitative evaluation of distant student psychophysical responses during the e-learning processes. 
Using 4 biometric sensors, including GSR (Galvanic Skin Response), BVP (Blood Volume Pulse), EKG (Electro Cardio Grapy) and EEG (Electro Encephalon Grapy), this paper proposes to attempt to correlate the presentation of relaxing, engaging or stressful content to the subjective measures provided by participants in experiments.  Once the participant interacts with content from one of the 3 conditions, they may or may not be selectively relaxed, engaged or stressed, and their scores on a psychological self-questionnaire (STAI: State-Trait Anxiety Inventory) should show that.  From correlating the subjective ratings with the experimental conditions, is proposed to allow to develop algorithms that can be used to classify learners' affective state during synchronous or asynchronous coursework.  It is proposed that the algorithm could be used synchronously for the teacher to get student feedback in real time.