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Emotion Sensory World: A Review on Blue Eyes Technology

Melbin Babu, T. D. Subha

Abstract


Emotions are so valuable that it is an inevitable part and without emotions the world becomes numb. So, by giving some emotional values to devices we can make them more effective. This paper aims at the objective to provide computer or any other machines with the human powers. A computer that understands our emotions and abilities and responds accordingly will be the best partner for us. Both, together as partners can bring new innovations in the present world. A technology that had been aroused which sense human emotions and a feeling through gadgets is named as blue eyes technology. Blue eyes system had intended to be a solution that monitors and records the user’s conscious brain and their physiological condition. Implementation of this technique which identifies human emotions and respond necessarily is been dealt with.

Cite this Article
Melbin Babu, Subha TD. Emotion Sensory World: A Review on Blue Eyes Technology. Journal of Artificial Intelligence Research & Advances. 2016; 3(2): 18–25p.


Keywords


DAU, CSU, emotion mouse, MAGIC pointing, SUITOR

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References


Swati. International journal on Emerging Trends in Technology, Science and Upcoming Research in Computer Science. DAVIM, Fariabad. Apr 2015.

Zelinsky A, Heinzmann J. Real Time Visual Recognition of Facial Gestures for Human Computer Interaction. In Proc. of the Int. Conf. on Automatic Face and Gesture Recognition. 1996; 351–356p.

Suvam Chatterjee, Haoshi. A Novel Neuro Fuzzy Approach to Human Emotion Determination. Digital Image Computing Techniques and Application (DICIA), 2010 International Conference.

Azarbayejani A, Stamer T, Horowitz B, et al. Visually Controlled Graphics. IEEE Trans Pattern Anal Mach Intell. 1993; 15(6): 602–605p.

Picard R. Affective Computing. Cambridge: MIT Press; 1997.

Ekman P, Rosenberg E, editors. What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). New York: Oxford University Press.

Carr Joseph J, Brown John M. Introduction to Blue Eyes Technology. IEEE Spectrum Magazine. II. Jajszczyk A. Automatically Switched Blue Eyes Networks: Benefits and Requirement. IEEE Blue Toooth. Feb 2005; 3(1).

Chandani Suryawanshi, Raju T. Blue Eyes Technology. International Journal for Scientific Research and Development (IJSRD). 2014; 2.

Kenneth Holmqvist, Marcus Nystrom, Richard Andersson, et al. Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press; 2011.

Kenneth Holmqvist, Marcus Nystrom, Fiona Mulvey. Eye Tracker Data Quality: What it is and How to Measure it. In Proceedings of the Symposium on Eye Tracking Research and Applications. ACM. 2012; 45–52p.

Matsumoto Y, Ogasawara T, Zelinsky A. Behavior Recognition Based on Head Pose and Gaze Direction Measurement. In IEEE International Conference on Intelligent Robots and Systems. 2000.

Morimotoa CH, Koonsb D, Amrib A, et al. Pupil Detection and Tracking Using Multiple Light Sources. Dept. de Cie^ncia da Computac a~o-IME/USP, Rua do Mata~o 1010, Sa o Paulo, SP 05508-900, Brazil, IBM Almaden Research Center, 650 Harry Road, B2 K57, San Jose, CA 95120, USA. Jul 1999.

Renu Nagpal, Pooja Nagpal, Sumeet Kaur. Hybrid Technique for Human Face Emotion Detection. International Journal of Advanced Computer Science and Applications (IJACSA). Dec 2010; 1(6).

Mizna Rehman, Mamta Bachani, Sundas Memon. Blue Eyes Technology. IEEE. 2013.

Himanshu Sharma, Gaurav Rathee. Blue Eyes Technology. International Journal of Computer Science and Management Research (IJCSMR). Jul 2013; 2(7).

Black M, Yacoob Y. Tracking and Recognizing Rigid and Non-Rigid Facial Motions using Local Parametric Models of Image Motion. International Conference on Computer Vision. 1995.

Belhumeur P, Hespanha J, Kriegman D. Eigenfaces vs. Fisherfaces: Recognition using Class Specific Linear Projection. In IEEE Trans Pattern Anal Mach Intell. Jul 1997; 19.

Amir Aly, Adriana Tapus. Towards an Online Fuzzy Modeling for Human Internal States Detection. 2012 12th Internal Conference on Control, Automation Robotics and Vision, (ICARCV2012), Guangzhou, China. 5–7 Dec 2012.

Srivastava Kritika R, Karishma A, Baldaniya HJ. Vision System of Blue Eyes. Apr 2014; 3.

McDuff D, Kaliouby R, Senchal T, et al. Affective- MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected in-the-Wild. The 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’10), Portland, OR, USA. Jun 2013.


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