This invention discloses a behavioral feature-based emotion intervention
system, belonging to the field of emotion intervention technology. It includes a
feature fusion unit, a feature association analysis unit, a correlation group determination unit, a real-
time data analysis unit, and an intervention plan output unit. Through continuous behavioral monitoring, this invention ensures that subtle deviations in behavioral patterns can be identified before the user is even consciously aware of them. This early warning capability for emotional risks breaks the traditional passive "problem occurs - proactively seek help" model, allowing for significantly earlier intervention and achieving true preventative
mental health care. Furthermore, it can identify behavioral gaps and generate corresponding intervention actions, thus enabling personalized micro-interventions. From data collection to intervention execution, historical
behavioral data is continuously used to optimize intervention strategies, thereby increasing the
system's adaptability.