[HTML][HTML] Integration of artificial intelligence and wearable internet of things for mental health detection
Abstract The integration of Artificial Intelligence (AI) and Wearable Internet of Things (WIoT)
for mental health detection is a promising area of research with the potential to revolutionize …
for mental health detection is a promising area of research with the potential to revolutionize …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
With the rapid growth of data volumes in real-world applications, anomaly detection has
become a crucial task across various scenarios. Anomalies are generally defined as data …
become a crucial task across various scenarios. Anomalies are generally defined as data …
Enhanced Large Language Models for Effective Screening of Depression and Anxiety
Depressive and anxiety disorders are widespread, necessitating timely identification and
management. Recent advances in Large Language Models (LLMs) offer potential solutions …
management. Recent advances in Large Language Models (LLMs) offer potential solutions …
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
Automatic depression detection from conversational data has gained significant interest in
recent years. The DAIC-WOZ dataset, interviews conducted by a human-controlled virtual …
recent years. The DAIC-WOZ dataset, interviews conducted by a human-controlled virtual …
Multimodal Depression Detection with Contextual Position Encoding and Latent Space Regularization
E Zhang, C Poellabauer - openreview.net
Clinical interviews are the gold standard for detecting depression, and previous work using
multimodal features from participants' audio, transcribed text, and video have shown …
multimodal features from participants' audio, transcribed text, and video have shown …