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Decision making is one of the smouldering problems in day to day works. Human emotions play crucial role in decision-making systems. While person is in high emotion he cannot make proper decision. Robust local binary pattern (RLBP) operator is more powerful to recognize the emotions and extends the features of local binary pattern (LBP). However, there are some precincts like discriminating bright faces against dark features and vice versa and intra-class variances increase. The RLBP solves this problem by¯nding minimum of LBP codes and their complements. However, it miss the mark for di®erent local structures a similar feature is obtained, weak contrast local patterns and similar strong contrast local patterns. Hence, the discriminative robust local binary pattern (DRLBP) method is proposed to retain the contrast information of image patterns next to considering both edge and texture information. Nevertheless, LBP family methods are highly sensitive to noise. To trounce these drawbacks this paper extends fuzzy rule-based DRLBP which is more robust to noise, low contrasted, uneven lighting conditions, variations in expressions and rotation variant images.

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This research paper presents the strategies involved in the design of a low power wireless sensor network for the measurement and monitoring of physiological parameters like body temperature, pulse rate and respiration rate of a patient .Ultra low power MSP430F1611 microcontroller from Texas instruments (TI) and the low power transceiver CC2500 ZigBee module from chicon are used in the present design. The TMP100 a digital temperature sensor is used for the measurement of body temperature ,the Free Scale MMA7260Q tri-axial accelerometer is used to measure the respiration rate and a simple pulse rate module is designed using the IR LEDs for the measurement of heart rate. A GUI is developed based on Visual Basic software to display the results. Also the results are displayed on the 2x16 LCD module . In addition , a website with URL www.vishnuhealth.com is designed to display the results .To achieve the low power objective ,an attempt is made to apply the Dynamic voltage and frequency scaling algorithm in addition to all the possible hardware precautions and MAC protocols.