Abstract

Customer service is a large revenue stream for companies whose core business is based around the customer. Ensuring that the customer stays happy is key, for their success. An Automatic Human Emotion Detection (AHED) system can be applied in any environment that can benefit from understanding facial expressions. The proposed solution combines customer satisfaction with an automated system. Using face detection and facial feature extraction to identify the dominant customer emotion. The training and classification of the system will be done using a machine learning technique. Companies can incorporate the results of the system in improving their customer service, ensuring that their customers stay satisfied.