Prof. Tsiknakis is a member of the International Program Committee for the evaluation of the submissions to the The First Multimodal Sensing Grand Challenge for Next-Gen Pain Assessment (AI4PAIN).
Autonomic pain recognition, a fundamental aspect of healthcare and affective computing, stands at the forefront of advancing technologies that can enhance patient well-being and contribute to more empathetic interventions. The integration of artificial intelligence (AI) and sensing technologies holds unprecedented potential in elevating the accuracy and depth of pain assessment. The proposed Grand Challenge aims to address the growing need for advanced pain recognition methods that leverage the fusion of functional near-infrared spectroscopy (fNIRS) and video analysis of the face through cutting-edge AI. This challenge comes at a critical time as the intersection of these technologies presents a unique opportunity to significantly advance our understanding and capabilities in automated pain assessment.