How AI-powered stress detection works
AI stress detection combines behavioral patterns and, when enabled, wearable signals to estimate stress trends and trigger helpful interventions.
1) Signal collection
Systems can process communication cues, usage patterns, and optional physiological signals such as heart-rate variability to estimate stress likelihood.
2) Pattern scoring
ML models score current patterns against known stress indicators and track confidence over time.
3) User feedback loop
Interventions and user feedback improve personalization and help reduce false alarms.
Important limits
AI wellness detection is not a medical diagnosis. It should support awareness and self-management, and it works best alongside professional care when needed.