A Review on User Identification and Emotion Classification Using ECG

Abstract

The aliveness of a person can be related with the heart beat rhythm. So the heart beat rhythm can be signalized into an ECG. Nowadays for the biometric authentication purpose we normally use the finger print, face &iris recognition etc. Among that ECG is more against forgeries and it is advanced technique than finger print &face recognition. This paper describes different methods used in identifying a person using Electrocardiogram signals. The same signal used for the classification of emotions also. User identification is the common method for identify a user in the business field and other organizations. User ID is one of the most common authentication system used within computing systems, networks, applications and over the Internet. Commonly used authentications are fingerprint, face recognition, iris recognition & RFID etc. Among ECG is universal, continuous& difficult to falsify. So the user identification using ECG is the new trend in biometric authentication. ECG is a periodical signal creates P,QRS,T through depolarization of atrium, repolarization &depolarization of ventricle. ECG is a bio signal & is unique because the variation in amplitude of R wave and the time duration of each wave is different for each individual. There are many different types of emotions that have an influence on how we live on earth and how we behave to others. The emotions are identified were happiness, sadness, disgust, fear, surprise, and anger. This paper describes the different method used to identify the person &classifies the emotion using ECG. Keywords: ECG, user identification, emotion classification, ANN classifier