Fog/Edge Computing is expected to play an essential role in the field of emotion analysis supporting, for example, emotional behavior recognition systems, IoT for emotional behavior recognition, and so on. It has introduced a family of powerful methods that can help to solve the security and privacy problem in some IoT based emotion analysis systems. However, there are still challenges in these systems to be solved, such as scale and complexity, security criticality, dynamicity, and fault diagnosis and tolerance. Inspired by the challenges and the chances, this thematic series mainly introduces the clinical application of Fog/Edge, addressing classification, clustering, regression, and other methods of emotion analysis. Papers in the series will review the new progress and achievements of Fog/Edge technology in the field of Emotion Analysis in the past ten years.
Edited by:
Kaijian Xia, University of Mining Technology, China
Yizhang Jiang, Jiangnan University, China
Wen Si, University of South Florida, USA