Literature review

Design And Development of Interactive Mirror for Aware Home.

Chidambaram Sethukkarasi, Vijayadharan SuseelaKumari HariKrishnan, Raja Pitchiah

National Ubiquitous Computing Research Centre

Centre for Development of Advanced Computing

Chennai, India

{ctsethu, harikrishnans, rpitchiah}@cdac.in

Literature Survey

The Interactive Mirror comprises of a dielectric coated mirror mounted over a LCD Display, a camera for capturing the user’s image, load sensors for measuring user’s weight, Radio-frequency identification (RFID) reader and RFID tags for identifying the garment worn by the user.

The contributions,

1) Conceptualization,design and development of interactive mirror.

2) 2) facial feature extraction for emotion recognition.

3) 3) Face recognition and emotion recognition algorithm training.

4) 4) Tests results of face recognition and emotion recognition algorithm in the deployed environment.

Related works

Use speech processing techniques.The mirror interacts with the user through verbal commands, listen to user’s question and responds them.

A mirror makes use of behavioral data in order to provide its user with continuous visual feedback on their behavior in a natural manner.

The system captures the image of the surrounding and display on a LCD screen.

The system uses robust multiple face detector and tracker based on active infrared illumination, and developed a face model to generate realistic graphics output,

Engineering of mirror

Dielectric coated mirror of thickness 1/4 inch. Entire panel act as mirror and display. In the top of the mirror web camera having VGA resolution and frame rate of 30fps. Weight measuring platform is formed with 4 load sensors from loadstar. The antenna is inside the wooden frame.

Face recognition

First step of face recognition is face detection. Face detection is finding faces in an image. Detect using Viola and Jones algorithm. It can recognize image face or non-face.

Second step is recognize whose face is. Eigen face recognition method is use here. The face images of the users are captured and stored in a face database. Algorithms trained with these images and calculate the distance between input image.

Emotion recognition

Facial expressions can be recognized from the facial features.

Features of face that change by changing the emotions. 1) Mouth. 2) Eye.

This use K-NN classification algorithm.

Event reminder

User has to enter the details which they want to be reminded using GUI. When user is using the mirror, the system check for reminders display it.

literature review

 Raspbian Magic Mirror-A Smart Mirror to Monitor Children by Using Raspberry Pi Technology

 R.M.B.N. Siripala

 M. Nirosha

 P.A.D.A. Jayaweera

N.D.A.S. Dananjaya

Ms. S.G.S. Fernando

Faculty of Information Technology, Sri Lanka Institute of Information Technology,

Colombo, Sri Lanka

This system is based on IoT which will be implemented by using Raspberry pi technology. It is a smart mirror which will possess the ability to display advanced details and connect with the user’s smart phone by using an Android application. The Raspbian magic mirror will display useful information such as the date, time, weather and daily reminders, but it will also help parents to monitor their children and assist them with their studies, and to organize their daily routines. In the case of teenage children, parents could use this mirror to assign them household chores as well. This device could of course be used as an ordinary mirror including all the above features that make day to day life easier and faster, which is an integral part of home automation as well.

The Raspbian Magic Mirror system provided comprehensive solution to the working parents. The Smart mirror which is fully functional predicting system for parents, to remind/encourage (to-do-list) their children in studies and extracurricular activities and get them to work by sending notification.

 Since this research is based on IoT using Raspberry pi technology, our Smart mirror project also similar it and it displays information such as the date, time, weather and daily reminders. Raspberry technology has been used in many advanced applications with advanced results.

An Interactive Smart Mirror for Busy Home Environment with IoT Platform

Literature Reviews

Interactive Mirror for Smart Home

Chidambaram Sethukkarasi,

Vijayadharan

SuseelaKumari HariKrishnan,

Karuppiah PalAmutha

National Ubiquitous Computing Research Centre

Centre for Development of Advanced Computing

Chennai, India

{ctsethu, harikrishnans, palamuthak}@cdac.in

Raja Pitchiah

Department of Electronics and Information Technology

Government of India

Delhi, India

pitchiah@mit.gov.in

This project is carried out for design and development of a smart artifact called “Interactive Mirror” for smart home users. The idea is to transform a normal mirror into an intelligent artifact by embedding various technologies to support users in their daily activities. It identifies the user using facial recognition technique and provides services such as recognizing emotions, progress representation of measured health parameters, height identification, identify garments, suggest garments with suitable color, and reminds important events.

Interactive Mirror comprises of a LCD display placed behind a dielectric coated mirror, a camera, a weight measurement platform, and a RFID reader.

The system has the following functionalities.

        i.                Person Identification

      ii.                Health Information Services

    iii.               Clothing advisor

    iv.                Recognize emotion

      v.                Reminder assistance

The mirror identifies the person using face recognition technique. When the user starts using the system, the camera triggers ON and captures the image in front of it. The image contrast is improved by histogram equalization technique before processing by face recognition module. By the analysis of facial expression and emotional aspect of person, the interactive mirror detects the emotion of a person. The emotional analysis data is recorded for a period of time (say 1 year or 1 month) can be used to identify the mental state of the person such us conditions like depression, fear and enthusiastic factors of user. The mirror assists the user in leading a healthier life by advising on health parameters such as weight, height, BMI and BMR. The weighing platform measures the weight of the user when he/she starts using it. The mirror detects the user skin color and attempts to suggest suitable colors for garments. It also tries to suggest according to the occasions such as party, outing, traditional program, competitions, etc.

Lit Review

https://drive.google.com/drive/u/0/my-drive?ths=true