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Multimodal assistive technologies for depression diagnosis and monitoring.

, , , , , , , and . J. Multimodal User Interfaces, 7 (3): 217-228 (2013)

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Design of an Emotion Elicitation Framework for Arabic Speakers., , , , , and . HCI (2), volume 8511 of Lecture Notes in Computer Science, page 717-728. Springer, (2014)Detecting depression: A comparison between spontaneous and read speech., , , , , and . ICASSP, page 7547-7551. IEEE, (2013)AusTalk - The Australian speech database: Design framework, recording experience and localisation., , and . CITA, page 1-7. IEEE, (2013)Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions., , , and . HRI, page 116-126. ACM, (2024)Jibo Community Social Robot Research Platform @Scale., , , , , , and . HRI (Companion), page 1346-1348. ACM, (2024)Expresso-AI: An Explainable Video-Based Deep Learning Models for Depression Diagnosis., , , and . ACII, page 1-8. IEEE, (2023)Multimodal assistive technologies for depression diagnosis and monitoring., , , , , , , and . J. Multimodal User Interfaces, 7 (3): 217-228 (2013)Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors., , , , , , and . IEEE Trans. Affect. Comput., 9 (4): 478-490 (2018)Evaluating and Validating Emotion Elicitation Using English and Arabic Movie Clips on a Saudi Sample., , , and . Sensors, 19 (10): 2218 (2019)Dyadic Affect in Parent-Child Multimodal Interaction: Introducing the DAMI-P2C Dataset and its Preliminary Analysis., , , , and . IEEE Trans. Affect. Comput., 14 (4): 3345-3361 (October 2023)