Adaptive Distributed System Considering Multi-User Based Multi-Channel Signal Processing Response Time

Abstract

Research and development are required to process various types of sensing data in fields, such as personal emotional information, from video, voice, vital signals, and complex environment conditions. Methods/Statistical analysis: The distribution processing technique must determine the private emotional state based on the instant synchronization of each real-time processing with each cognitive emotional estimation module from multi-user, multi-channel sensing data. Findings: This study presents a management method using the multi-dimension link vector information about multi-user experiences, multi-channel sensing, and cognitive emotional state modules with statistical threshold of processing time. Improvements/Applications: These systems include the management method of the delay time of emotional data for the integrated multi-channel information. This study proposes an adaptive distributed system based on multiple users and channels by generating the request information of the distributed processing according to specific weights in the real-time system that processes and transmits various signals.