Mood recognition as customer’s feedback using fuzzy inference system / Siti 'Aisyah Sa'dan ... [et al.]

Sa'dan, Siti 'Aisyah and Yusof, Noor Hazira and Mohd Bahrin, Ummu Fatihah and Hamzah, Siti Salbiah (2018) Mood recognition as customer’s feedback using fuzzy inference system / Siti 'Aisyah Sa'dan ... [et al.]. Multidisciplinary Informatics Journal, 1 (2). pp. 77-85. ISSN 2637-0042


Within the last several years, human mood recognition has been actively explored in the computer vision research. Human mood recognition is widely applied in education, psychology and customer service management. This study has been prepared for the customer service management. Nowadays, customer service is usually conducted through a manual survey to measure the customer’s satisfaction. Manual customer’s satisfaction survey is subjective and
the customer’s response may be less accurate. The objective of this study is to develop a mood recognition prototype as customer’s satisfaction feedback using fuzzy inference system and to measure its effectiveness. This study explores the recognition of domain-specific mood using a fuzzy inference system to detect three categories of mood; negative and positive and neutral with the accuracy of 78% matched based on the mouth measurement and computation. The future study focus on adding more feature points and improve rules and combine other
classifiers to the fuzzy inference system for better performance.


Item Type: Article
Email / ID Num.
Sa'dan, Siti 'Aisyah
Yusof, Noor Hazira
Mohd Bahrin, Ummu Fatihah
Hamzah, Siti Salbiah
Subjects: Q Science > QA Mathematics > Philosophy > Mathematical logic > Constructive mathematics > Algorithms
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Multidisciplinary Informatics Journal
UiTM Journal Collections: Others > Multidisciplinary Informatics Journal - DISCONTINUE
ISSN: 2637-0042
Volume: 1
Number: 2
Page Range: pp. 77-85
Keywords: Customer Feedback; Customer Management Service; Fuzzy Inference System; Mood Recognition
Date: December 2018
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