• DocumentCode
    2488608
  • Title

    A new tool to support diagnosis of neurological disorders by means of facial expressions

  • Author

    Bevilacqua, Vitoantonio ; Ambruoso, Dario D. ; Mandolino, Giovanni ; Suma, Marco

  • Author_Institution
    Dipt. di Elettrotec. ed Elettron., Politec. di Bari, Bari, Italy
  • fYear
    2011
  • fDate
    30-31 May 2011
  • Firstpage
    544
  • Lastpage
    549
  • Abstract
    Recognizing facial emotions is an important aspect of interpersonal communication that may be impaired in various neurological disorders: Asperger´s syndrome, Autism, Schizoid Personality, Parkinsonism, Urbach-Wiethe, Amyotrophic Lateral Sclerosis, Bipolar Disorder, Depression, Alzheimer´s desease. Although it is not possible to define unique emotions, we can say that are mental states, physiological and psychophysiological changes associated with internal or external stimuli, both natural and learned. This paper highlights certain requirements that the specification approach would need to meet if the production of such tools were to be achievable. In particular, we present an innovative and still experimental tool to support diagnosis of neurological disorders by means of facial-expressions-monitoring. At the same time, we propose a new study to measure several impairments of patients recognizing emotions ability, and to improve the reliability of using them in computer aided diagnosis strategies.
  • Keywords
    diseases; emotion recognition; face recognition; medical disorders; medical image processing; neurophysiology; psychology; Alzheimer desease; Asperger syndrome; Parkinsonism; Schizoid personality; Urbach-Wiethe disease; amyotrophic lateral sclerosis; autism; bipolar disorder; computer aided diagnosis strategies; depression; emotion ability; external stimuli; facial emotions; facial expressions; facial-expressions-monitoring; impairments; internal or external stimuli; interpersonal communication; mental states; neurological disorders; physiological changes; psychophysiological changes; specification approach; Alzheimer´s disease; Emotion recognition; Face; Face recognition; Facial features; Gold; Shape; Absence Expression; Action Units Recognition; Apathy; Emotion Recognition; Flattening Expression; Neurological Disorders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-9336-4
  • Type

    conf

  • DOI
    10.1109/MeMeA.2011.5966766
  • Filename
    5966766