Ambient Intelligence for Emerging Tactile Internet

Dear Colleagues,

The Tactile Internet paradigm is the next big wave of Internet innovation and of the Internet of Things (IoT) in particular. The term “Tactile Internet” was coined for “A network or network of networks for remotely accessing, perceiving, manipulating or controlling real or virtual objects or processes in perceived real-time by humans or machines.” The Tactile Internet aims to enhance the collaboration and interaction between humans and machines (or systems) in real, virtual, and remote IoT environments.

Ambient Intelligence (AmI) refers to electronic environments that are sensitive and responsive to the people present. The AmI uses the IoT environment to construct and deliver smart services, characterized by context-awareness, personalization, information assistance, ubiquitous access, adaptation, pro-active delivery, and some others. The Artificial Intelligence (AI) methods allow developing service-assistants that enhance the cognitive and movement functions of humans. On the other hand, the Tactile Internet technology supplies such AI assistants with advanced sensor opportunities, real-time data ubiquity, and robotics features.

This Special Issue considers AmI in IoT environments with essential use of the Tactile Internet technology. The key research challenges are data censoring and transfer, data processing and IoT computing paradigms, data mining and analytics with semantically rich data, human-like robotics-oriented cognition and movement, and innovative applications of AmI in the Tactile Internet. We invite authors to submit original research or review articles mainly focused on the Ambient Intelligence and Tactile Internet opportunities. The research and development topics for this Special Issue include, but are not limited to:

• Smart Internet technologies, platforms, and systems for data sensing, network transfer, and information exchange;
• Digital devices and network components for AmI and the Tactile Internet;
• Multi-source multi-type data sensing and information exchange;
• Edge and Fog computing for perceived real-time data mining and service delivery;
• Fusing heterogenous data from the physical, cyber, and social worlds;
• Data mining of cognitive-rich information (e.g., text, audio, video) by interaction of many devices;
• Data analytics based on semantic relations discovered in multi-source data;
• Movement and cognition analysis for AI assistants in robotics and healthcare;
• Human-like text analysis and generation;
• Information analytics in Tactile Internet;
• Testbeds, applications, case studies, and social issues of creating AmI in Tactile Internet.

Prof. Dr. Dmitry Korzun
Dr. Sergey Balandin
Prof. Dr. Anatoly Voronin
Guest Editors

Manuscript Submission Information

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