AIPhys.org Technologyabout 2 hours ago
AI Identifies Daily Stress via Phone Habits
4 min read
KAIST researchers developed SHIRBT-MMF, a technology analyzing smartphone behaviors like chatting and payments to identify daily stress. The system achieved 75.9% accuracy for short-term participants and 73.8% for long-term participants, outperforming conventional methods by 5.5 and 3.5 percentage points respectively.
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