The invention provides a
juvenile network
addiction early warning and reminding method and
system based on physiological parameters, and belongs to the field of network
addiction early warning, and the method comprises the steps: obtaining a facial image, a facial video
stream and audio data of a user, and extracting the physiological
feature data of the user from the facial image, the facial video
stream and the audio data; sending the physiological
feature data of the user to a background
server; the background
server is used for calculating physiological parameters based on the physiological
feature data of the user, determining psychological parameters based on the questionnaire text data, the
network application use data and the physiological parameters of the user, and calculating an
addiction risk
score based on the physiological parameters and the psychological parameters; in response to the received addiction risk
score of the background
server, if the addiction risk
score is not less than a preset addiction
risk threshold, determining a target early warning level based on the addiction risk score; and generating early warning information based on the target early warning level. According to the application, the addiction state of the juveniles can be accurately monitored and early warned.