Rule Based System for Recognizing Emotions Using Multimodal Approach

Rule Based System for Recognizing Emotions Using Multimodal Approach

Emotion is assuming increasing importance in human computer interaction (HCI), in general, with the growing feeling that emotion is central to human communication and intelligence. Users expect not just functionality as a factor of usability, but experiences, matched to their expectations, emotional states, and interaction goals. Endowing computers with this kind of intelligence for HCI is a co...

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

In this paper, we present a multimodal emotion recognition framework called EmotionMeter that combines brain waves and eye movements. To increase the feasibility and wearability of EmotionMeter in real-world applications, we design a six-electrode placement above the ears to collect electroencephalography (EEG) signals. We combine EEG and eye movements for integrating the internal cognitive sta...

Control Chart Recognition Patterns using Fuzzy Rule-Based System

Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...

Runtime verification of programs using rule-based active system

PCA and DWT Based Multimodal Biometric System for Recognizing a Person Using Face, Ear and Finger

This paper proposes the noble multimodal biometric system using multiple biometric traits such as face, ear and finger. This combination of multimodal traits is unique combination offering a better authenticity and accuracy than the existing multimodal biometric systems. In this experimentation the discrete wavelet transforms (DWT) is used for extraction of features which is followed by the pri...