Electroencephalography (EEG) for the detection of electrical signals in the brain by means of electrodes placed on the scalp. The EEG presents oscillations at different frequencies that can be associated with different attentional and cognitive states related to decision-making processes. The EEG data recorded with different instruments allow to obtain indications on the degree of activation of the different brain areas on a Scalp Map.
Facial Expression allows the analysis of facial emotions with Face Reader and with FACS evaluation system for the analysis of facial micro-expressions. The Face Reader is a software able to recognize the emotions felt by a subject through the recognition of facial expressions not controllable by the person. It integrates the analysis techniques of Facial Coding (FACS) carried out with the involvement of an expert for the evaluation of micro-expressions.
Reaction time or latency time measurement is a necessary tool to measure implicit attitudes. Among the tools used there is the Implicit Test (IAT), a software useful to study people's implicit attitudes and preferences through the measurement of response times in association tasks.
Breathing is detected by two sensors, one diaphragmatic (located at pectoral muscle level) and one abdominal (located at navel level). Together with the other biological signals and especially those of the heart, breathing is a further parameter for measuring emotional activation and is related to the emotions of fear, anger, joy and sadness.e.
Electromyography measures the level of contraction of muscles such as shoulders or zygomatic and corrugator muscles of the face. The contraction of these muscles is closely related to emotional states.