Incorporating Affective Computing to Enhance Health Assessments and Interventions

Come explore how computer and health sciences are working together to develop effective solutions for e-health applications and health behaviour change. Learn more about groundbreaking research in the field of digital health where evidence-based behavioral change theories and techniques combine with advanced deep learning, machine learning, affective computing, signal processing, and AI to maximize the potential of e-health applications, interventions and assessments.

Responsible name : Shandra Gunnoo
Email : frqs.ai.symposium@mbmc-cmcm.ca