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
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;
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
DOI :
10.1109/ICCI-CC.2015.7259381