Middle East Journal of Applied Science & Technology (MEJAST) (Peer Reviewed International Journal) Volume 3, Issue 1, Pages 01-04, January-March 2020
Study and Survey Analysis of Smart Blue Eyes Technology Device M.Srimathidevi1, C.Jerlin Christina Grace2, N.Esakiammal Sivaranjani3, B.Nisharni4 & G.Jayaraman5 1,2,3,4
UG Scholar, 5Assistant Professor, Department of ECE, Francis Xavier Engineering College, Tirunelveli, India. Email: srimathim1898@gmail.com1, shebadyni@gmail.com2, nsivaranjani01@gmail.com3, durgaiamman10@gmail.com4, icon4jai@gmail.com5 Article Received: 09 November 2019
Article Accepted: 17 January 2020
Article Published: 01 February 2020
ABSTRACT Blue Eyes is a technology, which aims at creating computational machines that have perceptual and sensory abilities like those of human beings. The basic idea behind this technology is to give computer human power. For example, we can understand a person‟s emotional state by his facial expressions. If we add these perceptual abilities to computers, we would enable them to work together with human beings as intimate partners. Blue Eyes technology basically uses different types of sensors to identify physical as well as psychological actions and to extract key information. Then, it is used to calculate the psychological, emotional, physical or any informational state of user. It aims at creating computational machines that have perceptual and sensory ability like those of human beings. This paper discusses the concept of blue eyes technology. The world of science cannot be measured in terms of development and progress. It shows how far human mind can work and think. It has now reached to the technology known as “Blue eyes technology” that can sense and control human emotions and feelings through gadgets. This paper implements a new technique known as Emotion Sensory World of Blue eyes technology which identifies human emotions (sad. happy. excited or surprised) using image processing techniques by extracting eye portion from the captured image which is then compared with stored images of database. After identifying mood the songs will be played to make human emotion level normal.
1. INTRODUCTION The machine can understand what a user wants, where he is looking at, and even realise the physical and emotional state. Imagine yourself in a world where humans interact with computers. It has the ability to gather information about you and interact with you through special techniques like facial recognition, speech recognition, etc. It can even understand your emotions at the touch of the mouse. It verifies your identity, feels your presents, and starts interacting with you. The devices are fixed with Bluetooth processors which provide wireless communication between sensors and the central unit. Although, your personal monitor that can perform any actions. It can understand our emotions even when you touch the mouse. It does the verification of your identity, also feels your presence, and starts interaction with the user. For example, you have asked the computer to dial to your home urgently. It than realize that the situation is very urgent and with the help of mouse, dials at home, and make a connection. The blue eyes technology aims at creating computational machines that have perceptual and sensory ability like those of human beings. It uses non-obtrusive sensing method, employing most modern video cameras and microphones to identify the user‟s actions through the use of imparted. In the name of BLUE EYES Blue in this term stands for Blue tooth (which enables wireless communication) and eyes because eye movement enables us to obtain a lot of interesting and information. 2. EXISTING SYSTEM Blue eyes is to design and develop smarter devices by creating devices with help of emotional intelligence. To make this possible it uses various sensing devices in order to evaluate the results. Eventually, creating computational devices with perceptual sensing abilities that could sense human‟s behavior and can provide physiological information. 1|P a g e
ISSN (Online): 2582- 0974
Website: www.mejast.com
Middle East Journal of Applied Science & Technology (MEJAST) (Peer Reviewed International Journal) Volume 3, Issue 1, Pages 01-04, January-March 2020
The process of making computers with emotions so it can sense the behavior is known to be as Affective Computing. The devices have to detect even the smallest variations of our moods and actions. For example, user may click a mouse swiftly or fast either in the happy mood or in the angry mood. This system consists of a mobile measuring device and a central analytical system. The mobile device is integrated with Bluetooth module providing wireless interface between sensors worn by the operator and the central unit. ID cards assigned to each of the operators and adequate user profiles on the central unit side provide necessary data personalization. From the physiological data obtained from the user, an emotional state may be determined which would then be related to the task the user is currently doing on the computer. Over a period of time, a user model will be built in order to gain a sense of the user's personality. The scope of the project is to have the computer adapt to the user in order to create a better working environment where the user is more productive. It identifies emotional behaviour of humans just by moving the mouse or touching the mouse or keyboard and the device started to react with the users. This is done with the help of intelligent devices like Emotion Mouse.This Emotion Mouse can detect emotions with just touching the mouse. The Emotion Mouse is designed to analyze and identify the user‟s emotions such as sad, happy, anger, eager etc. when the person is interacting with computer. 3. PROPOSED SYSTEM The blue eyes system furnishes technical means for monitoring and recording the operator‟s basic physiological features. The complete industrial surroundings can make a danger of exposing the operator to toxic materials and this can affect the person‟s cardiac system, circulatory system, and pulmonary system. The blue eyes system checks all the above features against abnormalities like the low level of blood oxygenation or the high pulse rate. The total system consists of two vital parts and they are Data Acquisition Unit (DAC), Central System Unit (CSU). Data Acquisition Unit (DAU) The main use of DAU is to collect the physiological information from sensors and forward to the CSU for processing and also verification purposes. The voice data is transmitted by using a tiny headset and the DAU consists of many hardware modules. Data Acquisition Unit are to maintain Bluetooth connections to get information from sensor and sending it to CSU. Central System Unit (CSU) The CSU mostly consists of voice information transmission and a wireless Bluetooth device. This CSU is connected to a computer using USB wire, parallel and serial cable wire. It performs online data analysis, records conclusion for further exploration and provides visualization interface.
2|P a g e
ISSN (Online): 2582- 0974
Website: www.mejast.com
Middle East Journal of Applied Science & Technology (MEJAST) (Peer Reviewed International Journal) Volume 3, Issue 1, Pages 01-04, January-March 2020
4. CONCLUSION This project provides a best useful way for user‟s by giving more strong and user friendly facilities in the world of computing devices. Wireless communication is provided by Bluetooth whereas the eye movements gives us important information and also tells us about interesting things. It is developed because of the need for real-time monitoring system for a human operator. This approach is innovative since it helps to supervise the operator.These new possibilities can cover areas such as industry, transportation, military command centres or operation theatres. It may even reach our hand held mobile phones. More capabilities can be added to computers that will allow them to interact like humans, recognize human presents, talk, listen, or even guess their feelings. 5. RESULTS From this project in future it is possible to create a computer which can interact with us as we interact each other with the use of blue eye technology. It seems to be a fiction, but it will be the life lead by “BLUE EYES” in the very near future. The outcome involves that all the future applications will be using blue eyes technology in order to make our day to day life simpler and easier. Ordinary household devices such as televisions, refrigerators, and ovens may be able to do their jobs when we look at them and speak to them. REFERENCES 1. N. Muthukumaran, 'Analyzing Throughput of MANET with Reduced Packet Loss', Wireless Personal Communications, Vol. 97, No. 1, pp. 565-578, November 2017. 2. P. Venkateswari, E. Jebitha Steffy, N. Muthukumaran, 'License Plate cognizance by Ocular Character Perception', International Research Journal of Engineering and Technology, Vol. 5, No. 2, pp. 536-542, February 2018. 3. N. Muthukumaran, R.Sonya, Rajashekhara, V. Chitra, 'Computation of Optimum ATC Using Generator Participation Factor in Deregulated System', International Journal of Advanced Research Trends in Engineering and Technology, Vol. 4, No. 1, pp. 8-11, January 2017. 4. B. Manoj Kumar, N. Muthukumaran, 'Design of Low power high Speed CASCADED Double Tail Comparator', International Journal of Advanced Research in Biology Engineering Science and Technology, Vol. 2, No. 4, pp.18-22, June 2016. 5. B. Renuka, B. Sivaranjani, A. Maha Lakshmi, N. Muthukumaran, 'Automatic Enemy Detecting Defense Robot by using Face Detection Technique', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 495-501, April 2018. 6. M. Ruban Kingston, N. Muthukumaran, R. Ravi, 'A Novel Scheme of CMOS VCO Design with reduce number of Transistors using 180nm CAD Tool', International Journal of Applied Engineering Research, Volume. 10, No. 14, pp. 11934-11938, 2015. 7. N. Muthukumaran and R. Ravi, 'The Performance Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm', Wireless Personal Communications, Volume. 81, No. 2, pp. 839-859, March 2015. 8. R. Sudhashree, N. Muthukumaran, 'Analysis of Low Complexity Memory Footprint Reduction for Delay and Area Efficient Realization of 2D FIR Filters', International Journal of Applied Engineering Research, Vol. 10, No. 20, pp. 16101-16105, 2015. 9. A. Aruna, Y.Bibisha Mol, G.Delcy, N. Muthukumaran, 'Arduino Powered Obstacles Avoidance for Visually Impaired Person', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 101-106, April 2018. 3|P a g e
ISSN (Online): 2582- 0974
Website: www.mejast.com
Middle East Journal of Applied Science & Technology (MEJAST) (Peer Reviewed International Journal) Volume 3, Issue 1, Pages 01-04, January-March 2020
10. N. Muthukumaran and R. Ravi, 'Hardware Implementation of Architecture Techniques for Fast Efficient loss less Image Compression System', Wireless Personal Communications, Volume. 90, No. 3, pp. 1291-1315, October 2016. 11. Mary Varsha Peter, V. Priya, H. Petchammal, N. Muthukumaran, 'Finger Print Based Smart Voting System', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 357-361, April 2018. 12. F.M.Aiysha Farzana, Hameedhul Arshadh. A, Ganesan. J, N. Muthukumaran, 'High Performance VLSI Architecture for Advanced QPSK Modems', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 45-49, January 2019. 13. A.Srinithi, E.Sumathi, K.Sushmithawathi, M.Vaishnavi, N. Muthukumaran, 'An Embedded Based Integrated Flood Forecasting through HAM Communication', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 63-67, January 2019. 14. N. Muthukumaran and R. Ravi, 'VLSI Implementations of Compressive Image Acquisition using Block Based Compression Algorithm', The International Arab Journal of Information Technology, vol. 12, no. 4, pp. 333-339, July 2015. 15. F.M. Aiysha Farzana, Hameedhul Arshadh. A, Sara Safreen. M, N. Muthukumaran, 'Design and Analysis for Removing Salt and Pepper Noise in Image Processing', Indo-Iranian Journal of Scientific Research, Vol. 3, No. 1, pp. 42-47, January 2019. 16. F.M. Aiysha Farzana, Abhinaya. M.K, Friska, N. Muthukumaran, 'Design of Button Antenna for Wireless Body Network using HFSS', Indo-Iranian Journal of Scientific Research, Vol. 3, No. 1, pp. 48-54, January 2019. 17. J. Keziah, N. Muthukumaran, 'Design of K Band Transmitting Antenna for Harbor Surveillance Radar Application', International Journal on Applications in Electrical and Electronics Engineering, Vol. 2, No. 5, pp. 16-20, May 2016. 18. N. Muthukumaran, R. Joshua Samuel Raj, Arumugathammal. E, Karthika. N, Karthika. S, Sangeetha. M, 'Design of Underground Mine Detecting Robot using Sensor Network', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 7, pp. 519-524, July 2019. 19. VP. Anubala, N. Muthukumaran and R. Nikitha, „Performance Analysis of Hookworm Detection using Deep Convolutional Neural Network‟, 2018 International Conference on Smart Systems and Inventive Technology, pp. 348-354, 2018, doi: 10.1109/ICSSIT.2018.8748645. 20. N. Muthukumaran, R. Joshua Samuel Raj, Manjula. R, Pavithra. L, Nagalakshmi. T, 'Automatic Identification and Management in Parking Lot through IOT', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 7, pp. 539-543, July 2019. 21. N. Muthukumaran, R. Joshua Samuel Raj, Surya. A, Thameez Muhyideen. M, Narayanan @ Vinoth kumar. T, 'Intelligent Sensor Based Monitoring System for Underwater Pollution', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 7, pp. 576-580, July 2019. 22. Jayaraman.G, N. Muthukumaran, Vanaja.A, Santhamariammal.R, 'Design and Analysis the Fire Fighting Robot', International Journal of Emerging Technology and Innovative Engineering, Volume 5, Issue 9, pp. 690-695, September 2019. 23. R. Joshua Samuel Raj, T.Sudarson Rama Perumal, N.Muthukumaran, „Road Accident Data Analytics Using Map - Reduce Concept‟, International Journal of Innovative Technology and Exploring Engineering, Volume. 8, Issue. 11, pp. 1032- 1037, September 2019. 24. Banumathi.A, Banupriya.A, Niranjana.R, Jayaraman.G, N. Muthukumaran, 'Advanced Illumination Measurement System in Highways', Asian Journal of Applied Science and Technology, Vol. 3, No. 1, pp. 39-44, January 2019. 25. S. Murine Sharmili, N. Muthukumaran, 'Performance Analysis of Elevation & Building Contours Image using K-Mean Clustering with Mathematical Morphology and SVM', Asian Journal of Applied Science and Technology, Vol. 2, No. 2, pp. 80-85, April 2018.
4|P a g e
ISSN (Online): 2582- 0974
Website: www.mejast.com