The invention relates to the technical field of intelligent recognition, in particular to an intelligent
perception and real-time interaction optimization method and
system for cross-culture recruitment interview, and the method comprises the steps: collecting taboo data, and constructing a regional culture taboo rule
library according to the three-
level structure of country, category and entry; in the interview process, synchronously acquiring video streams and voice streams of an interviewer through a camera and a
microphone; the video is preprocessed, a
gesture recognition model is called to extract hand key points, feature vectors are generated, the similarity between the feature vectors and a target national taboo gesture template is calculated, and a limb taboo detection result is obtained;
noise reduction and endpoint detection are carried out on the voice, effective voice segments are intercepted, and a language taboo detection result is generated through voice recognition in combination with a language taboo
word list and emotional characteristics; and fusing the two types of detection results, outputting a comprehensive
risk level according to a preset rule, generating an early warning
signal and an interactive optimization suggestion when the comprehensive
risk level reaches a threshold value, presenting the early warning
signal and the interactive optimization suggestion on an interview interface in real time, and writing the early warning
signal and the interactive optimization suggestion into a behavior
database to update a rule base and generate a redisk report. According to the invention, the problems of lack of cultural taboo identification capability, language and non-language behavior analysis splitting and lack of real-time feedback and redisk mechanism in the interview process in the prior art are solved.