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发布于 2021-09-22 00:27

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本文转自Cognitive Neurodynamics官网

期刊名称：Cognitive Neurodynamics

Special issue title：

Human-Centered Cognition Computing for Activity Recognition and Application

Guest Editors:

- Prof. Jianhua Zhang, Professor in AI, Department of Computer Science, Oslo Metropolitan University, Norway

- Dr. Deepak kumar Jain(SMIEEE), Associate - Professor, State Key Laboratory of Pattern Recognition Institute of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China; Director, Beijing IrisKing Co. Ltd.

- Dr. Vito Di Maio, Institute of Applied Science and Intelligent Systems (ISASI) of CNR, Pozzuoli (NA), Italy

- Prof. Li Zhang, Department of Computer Science, Royal Holloway, University of London Egham, Surrey, UK

- Dr. Manoj Kumar, Associate Professor, School of Computer Science, University of Petroleum and energy Studies, Dehradun, India

概述：

Human-centred cognition computing has the potential to realize a better future for all humanity; autonomous machines cannot replace the notion of responsibility, creation and human intelligence. Artificial intelligence with cognitive systems gives greater control of ever-increasing automation. Human-centred cognitive methods and AI recognize important distinctions by developing machine intelligence and keeping in mind the goal of understanding human emotion, language and behaviour. The business benefits of these human centric cognitive methods include informed decision making, reliability and scalability of much more extensive data needs. By applying behavioural science principles to technology through human-centred artificial intelligence developers and product designers can tap into user behaviour and subconscious patterns to create products and services that provide more satisfying, informed, enriching, and addictively rewarding user experiences.

The focus of this special issue will be to transform various technological aspects of recognition in human activity using Cognitive science, Artificial Intelligence, IoT, and Data Analytics. This will answer the thriving question on the application in human activity, personal identify cation and recognizing concurrent activities. It will be dedicated to theoreticians and researchers to understand and develop the real-time application for recognizing human-centred through cognitive artificial intelligence. Further, this special issue also intends to provide solutions for the data preparation approach used for classical machine learning and neural network environments.

The list of topic includes but not limited to:

• Cognitive and DNN systems for Activity Recognition System.

• Retrieved Quality Information through an application using deep machine learning for identifying human activity.

• AI analysis, assurance techniques for Human Activity Identification through learning systems.

• Machine Learning Methodologies, tools, and practical applications of human image identification.

• Robust reliability design techniques, diagnostic and decision support using the deep neural algorithms.

• Stochastic Modelling for Human Activity Recognition and reconstruction pattern applying in Healthcare Software Systems.

• Practical Organizational challenges with issues in pattern classification methods, restructuring of human Activity systems and impacts of living environment.

• Human Centered cognitive computing methods to tackle chronic illness through human centred therapies.

• Human centred task master models.

• Intelligent systems

• Pattern analysis using cognitive computing

Important Dates时间节点

- Submission deadline: November 30, 2021

- Final manuscript due: March 10, 2022

- Tentative publication date: June, 2022