Ekwonna Chinnasa

Work place: Dept. of Computer Science, Oduduwa University, Ipetumodu, Ile-Ife, Nigeria

E-mail: ekwonnachinasa@gmail.com


Research Interests: Artificial Intelligence, Computer Architecture and Organization, Data Structures and Algorithms


Ekwonna Chinasa, female, Ife, Nigeria, B.Sc. Computer Science, her research directions include artificial Intelligence and soft computing.

Author Articles
Temperament and Mood Detection Using Case Based Reasoning

By Adebayo Kolawole John Adekoya Adewale M. Ekwonna Chinnasa

DOI: https://doi.org/10.5815/ijisa.2014.03.05, Pub. Date: 8 Feb. 2014

Case-Based Reasoning (CBR) is a branch of AI that is employed to solving problems which emphasizes the use of previous solutions in solving similar new problems. This work presents TAMDS, a Temperament and Mood Detection system which employs Case-Based Reasoning technique. The proposed system is adapted to the field of psychology to help psychologists solve part of the problems in their complex domain. We have designed TAMDS to detect temperament and moods of individuals. A major aim of our system is to help individuals who are out of reach of a professional psychologist to manage their personality and moods because as humans, moods affect our perceptions, personal health, the way we view the world around us and the way we react to it.

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