Abstract
The tactful networking paradigm is expected to play a crucial role in the next generation networks. Accordingly, adaptive human-aware environments, sensitive to the daily human behavior and individual traits have to be provided, in order to offer a fully immersive and customized experience to users. On the basis of data collected by actual cognitive experiments, this paper proposes a learning framework to discover the multi-sensory human perceptual experience. The paper applies the mixture density network to identify the perception model considering different senses, and then the multi-sensory integration is performed, accordingly to the actual neuro-cognitive model. Furthermore, a supervised learning module has been used to cluster the users on the basis of the human perception identification strategy previously designed, assuming a multimodal structure for the cognitive brain activity. Finally, a practical contextualization is presented, in relation to the haptics virtual reality services. What emerges from the results is the effectiveness of the tactful approach, i.e., brain-aware, involving the proposed framework, which is validated in comparison to the more conventional brain-agnostic scheme. In fact, the system performance, expressed in terms of reliability in guaranteeing the service exploitation before a target deadline based on the integrated perception, reaches remarkable improvements applying the brain-aware strategy, which exploits the human perception knowledge.
Highlights
One of the most salient features of the generation networks is expected to be the need to manage human-aware applications, for example ultimate virtual reality services, or more in general those involving the extended reality (XR), or haptic communications
The new era of wireless networks will be characterized by architectures, communication models and technological solutions able to guarantee services based on daily humans behavior, including the psychological and cognitive aspects of the human brain, as well as the everyday humans habits, in order to meet the users expectations more naturally [1]
The recently emerged tactful networking paradigm has marked a divide between the user-centric applications, typical of the previous network generations, and the new era human-aware perspective, denoting a novel interdisciplinary area referred to the human behavior analysis
Summary
One of the most salient features of the generation networks is expected to be the need to manage human-aware applications, for example ultimate virtual reality services, or more in general those involving the extended reality (XR), or haptic communications. Looking forward, by involving the human subjective sphere of the individuals within the new era networks and applications design, such as the human personality, the routines, the brain cognitive limitations, and so on, the quality-of-experience (QoE) may be empowered, offering the chance to realize tactful network ecosystems, i.e., environments adaptive to the human context, sensitive to human behavior and interests, and able to support real-time and interactive virtual environments soliciting the users’ five senses [1]. Within this context, the exploitation of advanced machine learning techniques to deeply investigate the cognitive aspects of the human brain and the behavioral individual traits, is gaining momentum, expecting to play a crucial role in generation networking [1].
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