Cognitive infocommunication for monitoring and improving well-being of people

Vágner, Anikó

doi:10.1109/coginfocom.2017.8268224

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…In this section, we discuss how this contribution fits into the field of cognitive infocommunications [1][2][3]30]. One important aspect of this field is devoted to improving the well-being of people [35], including assistive technologies for people with non-standard cognitive characteristics [18]. Recent research in this subfield of cognitive infocommunications relates to socially assistive robots with interactive behavioral capability [24,27], games for cognitive competence of children with learning difficulties [33], motion detection sensors-based exercise games for elderly people [19], and ambient assisted living services for elderly with cognitive impairments [21].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Children’s Receptivity to the Robot MARKO

2018

APH

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This paper presents an experimental assessment of the children's receptivity to the human-like conversational robot MARKO. It reports on a production of a corpus that is composed of recordings of interaction between children, with cerebral palsy and similar movement disorders, and MARKO, in realistic therapeutic settings. Twenty-nine children participated in this study: 17 of them were recruited from among patients with cerebral palsy and similar movement disorders, and 12 healthy. Approximately 222 minutes of session time was recorded. All dialogues were transcribed, and nonverbal acts were annotated. A control group of 15 children (14 with cerebral palsy, one with spina bifida) was also included. The evaluation of the corpus showed that the positive effects go beyond social triggeringthe children not only positively responded to MARKO, but also experienced increased motivation and engagement in therapy.

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Section: Discussionmentioning

confidence: 99%

Assessing the Children’s Receptivity to the Robot MARKO

2018

APH

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“…Our presented paper's secondary area within the Cognitive Infocommunications is the "Human factors, E-health, and People with Specific Needs". Two previous major publications within this topic are "Cognitive Infocommunication for Monitoring and Improving Well-being of People" [8] and "Cognitive workload classification using cardiovascular measures and dynamic features" [9].…”

Section: Cognitive Telemedicinementioning

confidence: 99%

Revolutionizing Healthcare with IoT and Cognitive, Cloud-based Telemedicine

2019

APH

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Telemedicine instruments and e-Health mobile wearable devices are designed to enhance patients' quality of life. The adequate man-and-machine cognitive ecosystem is the missing link for that in healthcare. This research program is dedicated to deliver the suitable solution. This research's goal is the establishment of adaptive informatics framework for telemedicine. This is achieved through the deployed open telemedicine interoperability hub-system. The presented inter-cognitive sensor-sharing system solution augments the healthcare ecosystem through extended interconnection among the telemedicine, IoT e-Health and hospital information system domains. The general purpose of this experiment is building an augmented, adaptive, cognitive and also universal healthcare information technology ecosphere. This study structures the actual questions and answers regarding the missing links and gaps between the emerging Sensor Hub technology and the traditional hospital information systems. The Internet-of-Things space penetrated the personal and industrial environments. The e-Health smart devices are neither widely accepted nor deployed in the ordinary healthcare service. This paper reviews the major technological burdens and proposes necessary actions for enhancing the healthcare service level with Sensor Hub and Internet-of-Things technologies. Hereby we report the studies on varying simplex, duplex, full-duplex, data package-and file-based information technology modalities. We establish with that stable system interconnection among clinical instruments, healthcare systems and eHealth smart devices. Our research is based on the trilateral cooperation comprising the

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