.png){kind=icon}
.png){kind=icon}
Return
Multi-task emotion communication system with dynamic resource allocations
.png){kind=icon}
PRE
AI
DOI：10.1016/j.inffus.2019.03.003.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The research of long-distance emotion communication and interaction without time and space constraints is an important area in human-robot interaction (HRI) systems. Although many methods of emotion recognition have been studied for analyzing various emotion signals, the resource allocation of transmission for emotion communication signals of many pairs of users has not been fully considered nor solved at the same time. This paper proposes a new multi-task emotion communication system (MEmSys), where the transmission resources allocation issue is considered. Specifically, we firstly establish the architecture of MEmSys, and the entire emotion interaction process of the proposed system is introduced. By analyzing fairness and urgency of different tasks, the mathematical expressions of the minimum task transmission rates for all user pairs are derived. Then, a dynamic optimal resource allocation scheme is presented to maximize the sum of the task transmission rates in the proposed system. Moreover, simulation experiment results and performance analyses show that the resource utilization ratio of the proposed allocation scheme for multiple user pairs is significantly improved compared to the single user pair system. Finally, future works are discussed to provide insights for our next research.
Keywords:
Emotion communication
Multi-task scheduling
The minimum task transmission rate
Dynamic optimal resource allocation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
15.5
Papers:
4.1K
Citations:
2.7W
View more organizations