Development of Fuzzified Emotional Mobile (FEM): Thought recognition through EMO vTF mobile

It is said that Fuzzy bring human approach in device functioning wherever it apply. Emotional Mobile concept captures facial expression and does user-centric setting accordingly i.e. setting screen color, displaying famous personality, changing ring tone, caller tune and many others. Hence, for purpose of determining mood/emotion, pattern recognition can be used. By analyzing the captured image/pattern using pattern recognition technique, we can get pattern type which can be substitute for emotion. In this paper, we discussed about use of eyes and lips together, to determine the emotion. Reason behind using these two i.e. eyes and lips, is to determine the emotion/mood precisely. We used T-fuzzy in pattern recognition which can make performance far better compare to normal fuzzy approach. Fuzzy technique is quite useful in various cases i.e. application in air conditioning systems with infrared rays detector can identify number of persons in room from thermal images, use of neuro-fuzzy in kerosene fan heater which can estimate index of thermal comfort by fuzzy interference and control the amount of kerosene combustion, direction of wind etc. In our paper, it will focus on determination of pattern of lip using pattern recognition in conjunction with Fuzzy logic. Usually, pattern recognition, without fuzzy, has more frequency of failure in determining correct pattern. Also, without fuzzy, data will be more rigid and which can be quite different in human evaluation.