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Affective Computing Architectures for Wearable Emotion Recognition Validation

Affective Science

Adolescent Mood Disorders & Digital Phenotyping

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Affective Science › Adolescent Mood Disorders & Digital Phenotyping

Affective Computing Architectures for Wearable Emotion Recognition Validation

Research develops and validates deep learning architectures that infer momentary emotional states from wearable biosignals including electrodermal activity, photoplethysmography, and inertial measurement unit data. This work establishes psychometric properties and clinical validity of wearable-derived affect inference in naturalistic adolescent environments.

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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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