IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 4, Ver. IV (Jul - Aug. 2014), PP 38-41 www.iosrjournals.org www.iosrjournals.org 38 | Page Magic Mirror For Mentally Retarded Person Ms. A.A. Bagade 1 , Prof. N.B.Hulle 2 1 (Electronics and Telecommunication Department, SGREF’s GHR COEM/ Pune University, India) 2 (Electronics and Telecommunication Department, GHRIET / Pune University, India) Abstract : Magic mirror is an augmented reality system. Automatic recognition of human facial language having advanced techniques for detection of face, facial expressions, facial emotions and their classifications. Human-machine interface challenges advanced techniques, day by day. This proposed system can be used as smart furniture for mentally retarded person. It includes camera and display device which plays a role of mirror. In this, mentally retarded person come across the mirror (i.e. HD camera and display device), initially it recognizes the person and then its state of mood. With the help of software, it compares the input image with the stored image (database). We proposed a system which helps the doctor/patient’s parents to know about the emotional status of that patient, with the help of an algorithm for facial language recognition by using face detection algorithm using viol-john detection algorithm. Keywords: Human-machine interface system, human facial language recognition system. Face detection from viol-john detection algorithm, Global System for Mobile communication (GSM). I. Introduction Mirror is nothing but an object that reflects the incident light i.e. it shows the object view in mirror image. Mirrors are commonly used at furniture, decoration purpose, etc. also for scientific use like in telescope, microscope, laser, etc. Magic mirror is a mystical object, used in fairytales as in snow white. In this paper, we proposed a system, used as smart furniture for mentally retarded person. In this, when person come across the mirror (camera and display device), it detects the person. Software identifies the patient, and facial expressions are detected by face detection algorithm. Hardware sends information about patient‟s mood/facial language through SMS. Facial emotion/expression is nothing but movement of muscles beneath the skin, which results into facial expression. As explained in [1], to simplify the problems related to human emotions, different methodologies like optical flow, neural network process, active appearance model, hidden Markov model etc. can use. As in [2], unlike the magic mirror in fairytale, system tries to alleviate the person‟s bad mood by providing music therapy. In this proposed system patient‟s state of mood is detected and in formed to doctor/ patient‟s parents. Hence named „Magic Mirror: for Mentally Retarded Person‟. Rest of the paper is organized as follows. Section 2 contains related work. Section 3 shows the prototype of proposed work. Section 4 experimental setup and results. Project is concluded in section 5. II. Related Work Brief review of proposed system is as follows. A. Identify Patient: Identity recognition is the first step for emotion recognition [2]. The system equipped with embedded network computers, input/output devices, sensors etc. used as smart furniture [2], [3]. It provides better home life [3], getting emotional satisfaction, and getting relive from breakdown from their daily routine [4]. Design of proposed system is almost fixed. Demand of time [4] forces the patents parents to compromise about activities towards the patient. Control [4] over the patient from remote place is possible because of this smart system. Facial expression is most powerful and natural way for human beings to communicate their emotions and intensions [5]. B. Facial Expression Recognition: Automatic facial expression recognition system [5], [6], [7], [8], [9], [10] recognizes set of prototypic expressions such as anger, fear, happiness etc. Human emotions are communicated by changes in one or more discrete facial features [5]. Psychological research argues that temporal dynamics of facial behavior includes timing and duration of facial activities becomes a critical factor for interpretation of observed behavior [6]. Automatic analysis of facial expressions is highly beneficial for the fields as diverse as behavioral science, psychology, medicine, security, and education and computer science. Such wide applications produce interest in human-machine interaction through machine analysis [7]. Active apparatus model [7] implementation creates fully automatic model of a face depicted in an image [8].