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Real-Time Mood State Detection Via Smartphone Behavioral Phenotyping

Affective Science

Adolescent Mood Disorders & Digital Phenotyping

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Affective Science › Adolescent Mood Disorders & Digital Phenotyping

Real-Time Mood State Detection Via Smartphone Behavioral Phenotyping

This research investigates computational algorithms that extract mood states from digital behavioral markers including typing patterns, screen interaction velocity, and app usage temporal dynamics. The investigation advances affective computing by establishing validated digital biomarkers for continuous, non-intrusive mood monitoring in ecological contexts.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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