Psychological & Physiological Diagnosis

Concept

• Artificial intelligence self-examination and management service for psychological state
• The learning model based on image analysis-based artificial intelligence (Machine learning, deep-learning, pattern recognition) to determine each individual’s psychological state
• Self-diagnosis is possible through inference of the user's emotional and psychological state by applying complex cognitive technologies such as image analysis technology and analysis of the user's use vocabulary through voice emotional state and voice recognition.

Technical characteristics

• As the accuracy of determining the psychophysiological state improves, it can be used in various fields.
• Platformization of real-time emotion (psychological) recognition technology and large-capacity data indexing/searching technology
• Secure Deep Learning-based emotion (psychological) recognition artificial intelligence platform

Service utility

Social aspects

• It can be used as a service model for psychological state analysis and stress and depression diagnosis of emotional workers through the individual's psychophysiological state self-diagnosis service technology.
• Transition to a futuristic advanced social safety net through analysis of AI-based image information

Economic aspects

• Contribute to national policies to create opportunities for good job creation by fostering small and medium-sized enterprises and solving the employment avoidance situation of SMEs through commercialization of research results
• Development of an AI platform for video analysis that can minimize the risk of product commercialization while being economical by securing national core technology at minimum cost and utilizing the software commercialization capabilities of SMEs