Multi-agent-based human computer interaction of E-health care system for people withmovement disabilities

A. A. Bielskis, V. Denisovas, D. Drungilas, G. Gricius, D. Dzemydiene

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    This paper presents further development of intelligent e-health care system for people with movement disabilities. The research results present the development of multi-agent-based human computer interaction model and its integration into the system of fuzzy neural control of speed of two wheelchair type robots to providing movement support for disabled individuals. An approach of filtering of skin conductance (SC) and electrocardiogram(ECG) signals using Nadaraya-Watson kernel regression smoothing in R tool for emotion recognition of disabled individuals is described and implemented in the system. The unsupervised clustering by self organizing maps (SOM) of data sample of physiological parameters extracted from SC and ECG signals noninvasively measured from disabled was proposed. It was implemented to reduce teacher noise as well as to increase of speed and accuracy of learning process of multi-layer preceptron (MLP), which was applied in the multi-agent-based human computer interaction model for online prediction of e-health care state of disabled individuals. Keywords- multiple agent e-health care, bio-robots, human computer interaction, skin conductance, electrocardiogram, fuzzy logic, neural networks.

    Original languageEnglish
    Pages (from-to)77-82
    Number of pages6
    JournalElektronika ir Elektrotechnika
    Issue number7
    Publication statusPublished - Sep 2010

    Fingerprint

    Human computer interaction
    Electrocardiography
    Health care
    Skin
    Robots
    Wheelchairs
    Self organizing maps
    Fuzzy logic
    Neural networks

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Multi-agent-based human computer interaction of E-health care system for people withmovement disabilities. / Bielskis, A. A.; Denisovas, V.; Drungilas, D.; Gricius, G.; Dzemydiene, D.

    In: Elektronika ir Elektrotechnika, No. 7, 09.2010, p. 77-82.

    Research output: Contribution to journalArticle

    @article{c3bd407753ae4a42aec92f539ef62cc3,
    title = "Multi-agent-based human computer interaction of E-health care system for people withmovement disabilities",
    abstract = "This paper presents further development of intelligent e-health care system for people with movement disabilities. The research results present the development of multi-agent-based human computer interaction model and its integration into the system of fuzzy neural control of speed of two wheelchair type robots to providing movement support for disabled individuals. An approach of filtering of skin conductance (SC) and electrocardiogram(ECG) signals using Nadaraya-Watson kernel regression smoothing in R tool for emotion recognition of disabled individuals is described and implemented in the system. The unsupervised clustering by self organizing maps (SOM) of data sample of physiological parameters extracted from SC and ECG signals noninvasively measured from disabled was proposed. It was implemented to reduce teacher noise as well as to increase of speed and accuracy of learning process of multi-layer preceptron (MLP), which was applied in the multi-agent-based human computer interaction model for online prediction of e-health care state of disabled individuals. Keywords- multiple agent e-health care, bio-robots, human computer interaction, skin conductance, electrocardiogram, fuzzy logic, neural networks.",
    author = "Bielskis, {A. A.} and V. Denisovas and D. Drungilas and G. Gricius and D. Dzemydiene",
    year = "2010",
    month = "9",
    language = "English",
    pages = "77--82",
    journal = "Elektronika ir Elektrotechnika",
    issn = "1392-1215",
    publisher = "Kauno Technologijos Universitetas",
    number = "7",

    }

    TY - JOUR

    T1 - Multi-agent-based human computer interaction of E-health care system for people withmovement disabilities

    AU - Bielskis, A. A.

    AU - Denisovas, V.

    AU - Drungilas, D.

    AU - Gricius, G.

    AU - Dzemydiene, D.

    PY - 2010/9

    Y1 - 2010/9

    N2 - This paper presents further development of intelligent e-health care system for people with movement disabilities. The research results present the development of multi-agent-based human computer interaction model and its integration into the system of fuzzy neural control of speed of two wheelchair type robots to providing movement support for disabled individuals. An approach of filtering of skin conductance (SC) and electrocardiogram(ECG) signals using Nadaraya-Watson kernel regression smoothing in R tool for emotion recognition of disabled individuals is described and implemented in the system. The unsupervised clustering by self organizing maps (SOM) of data sample of physiological parameters extracted from SC and ECG signals noninvasively measured from disabled was proposed. It was implemented to reduce teacher noise as well as to increase of speed and accuracy of learning process of multi-layer preceptron (MLP), which was applied in the multi-agent-based human computer interaction model for online prediction of e-health care state of disabled individuals. Keywords- multiple agent e-health care, bio-robots, human computer interaction, skin conductance, electrocardiogram, fuzzy logic, neural networks.

    AB - This paper presents further development of intelligent e-health care system for people with movement disabilities. The research results present the development of multi-agent-based human computer interaction model and its integration into the system of fuzzy neural control of speed of two wheelchair type robots to providing movement support for disabled individuals. An approach of filtering of skin conductance (SC) and electrocardiogram(ECG) signals using Nadaraya-Watson kernel regression smoothing in R tool for emotion recognition of disabled individuals is described and implemented in the system. The unsupervised clustering by self organizing maps (SOM) of data sample of physiological parameters extracted from SC and ECG signals noninvasively measured from disabled was proposed. It was implemented to reduce teacher noise as well as to increase of speed and accuracy of learning process of multi-layer preceptron (MLP), which was applied in the multi-agent-based human computer interaction model for online prediction of e-health care state of disabled individuals. Keywords- multiple agent e-health care, bio-robots, human computer interaction, skin conductance, electrocardiogram, fuzzy logic, neural networks.

    UR - http://www.scopus.com/inward/record.url?scp=79551672389&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=79551672389&partnerID=8YFLogxK

    M3 - Article

    AN - SCOPUS:79551672389

    SP - 77

    EP - 82

    JO - Elektronika ir Elektrotechnika

    JF - Elektronika ir Elektrotechnika

    SN - 1392-1215

    IS - 7

    ER -