• DocumentCode
    736356
  • Title

    Machine learning based cognitive skills calculations for different emotional conditions

  • Author

    Ahmad, Sadique ; Adnan, Awais

  • Author_Institution
    Dept: Computer Science, IM|Sciences, Peshawar, Pakistan
  • fYear
    2015
  • fDate
    6-8 July 2015
  • Firstpage
    162
  • Lastpage
    168
  • Abstract
    Advance measurement of cognitive skills of a human being is a challenging research works because these skills have a great relation with emotions, age and gender. Working with emotions in cognitive computing is challenging but we cannot ignore the importance of cognitive skills during critical tasks as flying, fire fighting and driving public transports. During our previous published works we have conducted experiment on 8 participants of both genders. We have investigated that emotions, age, gender and cognitive skills have dependencies on one another. This paper investigate literature review of other researchers belong to psychology, neuroscience, HCI, as well as computer science which shows that emotions and EEG signal patterns have a great concern with cognitive skills. We have found evidence that emotions, age, gender and cognitive skills have great relations with each other.
  • Keywords
    Brain modeling; Computational modeling; Electroencephalography; Iron; Phase measurement; Physiology; Robots; Cognitive skills; Computational Intelligence; Data Mining; F P Growth Algorithm; Human Emotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4673-7289-3
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2015.7259381
  • Filename
    7259381