Literature DB >> 20411209

Affective medicine. A review of affective computing efforts in medical informatics.

A Luneski1, E Konstantinidis, P D Bamidis.   

Abstract

BACKGROUND: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as "computing that relates to, arises from, or deliberately influences emotions". AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain.
OBJECTIVES: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics.
METHODS: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples.
RESULTS: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, AmI, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged.
CONCLUSIONS: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field.

Entities:  

Mesh:

Year:  2010        PMID: 20411209     DOI: 10.3414/ME0617

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  7 in total

1.  Recommendations for the design, implementation and evaluation of social support in online communities, networks, and groups.

Authors:  Jacob B Weiss; Eta S Berner; Kevin B Johnson; Dario A Giuse; Barbara A Murphy; Nancy M Lorenzi
Journal:  J Biomed Inform       Date:  2013-04-11       Impact factor: 6.317

2.  Prototype Development of a Responsive Emotive Sensing System (DRESS) to aid older persons with dementia to dress independently.

Authors:  Diane Feeney Mahoney; Winslow Burleson; Cecil Lozano; Vijay Ravishankar; Edward Leo Mahoney
Journal:  Gerontechnology       Date:  2015

3.  Real-time EEG-based happiness detection system.

Authors:  Noppadon Jatupaiboon; Setha Pan-ngum; Pasin Israsena
Journal:  ScientificWorldJournal       Date:  2013-08-18

4.  A Critical Review of Smart Residential Environments for Older Adults With a Focus on Pleasurable Experience.

Authors:  Li Na Lee; Mi Jeong Kim
Journal:  Front Psychol       Date:  2020-01-24

Review 5.  A review on the computational methods for emotional state estimation from the human EEG.

Authors:  Min-Ki Kim; Miyoung Kim; Eunmi Oh; Sung-Phil Kim
Journal:  Comput Math Methods Med       Date:  2013-03-24       Impact factor: 2.238

6.  Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.

Authors:  Jie Wei; Tong Chen; Guangyuan Liu; Jiemin Yang
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

Review 7.  Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.

Authors:  Kostas Nizamis; Alkinoos Athanasiou; Sofia Almpani; Christos Dimitrousis; Alexander Astaras
Journal:  Sensors (Basel)       Date:  2021-03-16       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.