Table of Content

Deep Vision Architectures and Algorithms for Edge AI Computing

Submission Deadline: 31 January 2022 (closed)

Guest Editors

Prof. Byung-Gyu Kim, Sookmyung Women's University, Korea.
Prof. Partha Pratim Roy, Indian Institute of Technology, India.
Prof. Naveen Chilamkurti, La Trobe University, Australia.

Summary

Edge Computing and Artificial Intelligence (AI) are considered to be disruptive technologies. Edge Computing and IoT connect the physical world to the Internet, generating a large amount of valuable data about its processes. AI provides a series of data mining and analytics methods which can be implemented in systems, resulting in data-driven architectures which facilitate the decision-making process. Especially, visual data-based AI technology is the most important one to provide very personalized in the edge devices and platform.

As the computing performance of edge devices improves, various vision data-based artificial intelligence technologies are being applied, and service construction through interworking with cloud is accelerating. As a result, both technologies are being integrated by information technology, communication, security, and data science, and they are designed for the vertical market, offering solutions specific to business, finance, manufacturing, smart city IT infrastructure planning, smart city modelling, security, energy consumption efficiency in the Edge AI environment.

The goal of this special issue is to invite academics and industry experts to contribute to the development of Edge AI platform and smart cities based on visual data. We accept the original researches and some applications that involve the use of high-performance computing and that focus on the problems involved in applying Edge IoT to Ambient Intelligence and Human-centric Computing. This issue welcomes the security as well as the mobility and pervasiveness of IoT in daily human processes and environments.


Keywords

Edge IoT, AI, Deep vision, Edge AI, Vision data, Pervasive environment, Deep learning, Smart cities

Published Papers


  • Open Access

    ARTICLE

    Empathic Responses of Behavioral-Synchronization in Human-Agent Interaction

    Sung Park, Seongeon Park, Mincheol Whang
    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3761-3784, 2022, DOI:10.32604/cmc.2022.023738
    (This article belongs to this Special Issue: Deep Vision Architectures and Algorithms for Edge AI Computing)
    Abstract Artificial entities, such as virtual agents, have become more pervasive. Their long-term presence among humans requires the virtual agent's ability to express appropriate emotions to elicit the necessary empathy from the users. Affective empathy involves behavioral mimicry, a synchronized co-movement between dyadic pairs. However, the characteristics of such synchrony between humans and virtual agents remain unclear in empathic interactions. Our study evaluates the participant's behavioral synchronization when a virtual agent exhibits an emotional expression congruent with the emotional context through facial expressions, behavioral gestures, and voice. Participants viewed an emotion-eliciting video stimulus (negative or positive) with a virtual agent. The… More >

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