A Virtual Reality Based System for Drug Addiction and Diagnosis

By integrating virtual reality (VR) technique with flavor simulator, our research intended to create an immersed virtual environment (VE) that is composed of multiple VR tasks with varied intensities of drug-temptation therefore to gradually induce the carving of addiction patients. Moreover, multi-model sensors, including electrocardiography (ECG), electroencephalography (EEG), galvanic skin response (GSR) and eye tracking, were synchronized with the VE system and utilized to measure the neuro-behavior of the addiction patients before, during and after the exposure to the virtual environment. Further, data of multi-model neuro behaviors and VR task performance were analyzed by statistics and machine learning method in order to evaluate the intensity of craving induced and judge the dependence on the drug so as to make an assessment to the addiction patients.