Date of Publication :7th November 2016

Abstract: Human body is effectively tested only by the heartbeat. Based on the heartbeat rate many diseases can be found. In this paper, we have proposed effective method for detecting heartbeat. This method overcome the difficulties in the previous methods proposed like, subject movement in the unrealistic environment etc. The proposed method detects the feature point using GFT and SDM in Facial video. Before this Face quality Assessment is also included. This need to be tested on the MAHNOB-HCI database which includes realistic scenarios. This method will achieve good experimental performance. Gestures help us decipher meaning in communication. A gesture is a form of non-verbal communication, in which visible body actions communicate particular messages, either in place of or in conjunction with speech. Gestures include movement of the hands, face or other parts of the body. People move their hands while they talk, resulting in gestures. Gesture is even found in individuals who are blind from birth. Thinking of this hand gestures in communication, gives the idea of helping mute people to communicate in the normal way with others. Generally mute people use sign language for communication but they find it difficult to communicate with others who don’t understand sign language. This system consists of a glove attached with flex sensors and an accelerometer sensor. With the help of these sensors, the movements of the fingers are captured and the captured information’s are processed and the information is fed into the speaker. And to make it as a two way communication, we are capturing the speech of normal person and displaying it on an LCD screen, so that a normal person and a mute person can communicate at ease. We will be using Bluetooth for the signal transmission, incorporating the same with the help of Arduino. This can be easily handled and will be a gift to the mute people.

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