A multimodal emotion recognition system has been developed to provide standardized and objective emotional assessment.The system integrates facial expressions, body movement, speech, and spoken language analysis.It aims to capture subtle emotional cues often overlooked in human evaluations and reduce the risk of mis- and overdiagnosis.Preliminary testing demonstrates its potential in improving diagnostic accuracy and its application in clinical and therapeutic settings.