A human sensory data measurement system and method. The method comprises: a person under test operating a control unit to send a control signal to an interaction unit; in response to the control signal, the interaction unit presenting identified virtual scene information to the person under test, and receiving interactive action information of the person under test so as to present a corresponding interactive action in the virtual scene; acquiring at least one physiological parameter of the person under test and sending same to a processing unit in real time; and according to the physiological parameter, evaluating the sensory state of the person under test in real time by machine learning, and outputting result information; at least one piece of virtual scene information being related to the intake of addictive drugs of a human body. The method utilizes an interactive virtual reality experience, and relies on algorithms of large data analysis and machine learning, so that the evaluation result is more scientific and accurate.
HUMAN SENSORY DATA MEASUREMENT SYSTEM AND METHOD