Journal of Advancements in Robotics

Blue Eye Technology

  1. Sushama Sainwar
  2. Dr. Shalini Kulshrestha
  3. Anil Kumar Sharma

Abstract

In social interaction with other human beings which delivers information by using emotion and facial expression play about their mood that is important part in communication. The “Blue Eyes Technology” creates sensory abilities like those of human beings which enable the computer to gather facts about humans and interact with others. This paper implements the detection of feelings or emotion like fear, surprised, happy, sad and anger; it defines by human eye expressions and by using an emotion. Blue Eyes Technology aims allow people to interact with computers in a more natural manner. This technology BLUE define for Bluetooth, which enables reliable wireless communication and EYES define the movement of the eye that enables us to see lot of interesting and important information. It objective at creating computational machines that have perceptual and sensory ability. In this technology, emotions and action can be identify by using camcorder. The technologies used for manual and artificial intelligent speech recognition, gaze input cascaded, recognition, simple user interest tracker, the eye movement sensor. Its main applications are automobile industry, video games, medical diagnosis and lie detector tests. It is an emerging technology and in future it is expected to reduce the gap between electronic and physical world. The emotion mouse obtains physiological data and emotional state of a person through the single touch of mouse having different sensors.Keywords: Emotion mouse, emotion recognition, eye expressions, support vector machine (SVM), Hidden Markov Model (HMM), blue eyes, images, magic pointing, image processing, senseCite this Article Sushama Sainwar, Shalini Kulshrestha, Anil Kumar Sharma. Blue Eye Technology. Journal of Advancements in Robotics. 2020; 7(1): 15–18p.

References (10)

  1. Manisha Kumawat, Garima Mathur, Nikita Susan Saju. Research Paper on Blue Eye Technology . IRE Journals . 2018;1(10):164–168p.
  2. Sudan Pawar, Shubham Vibhute, Ashish Patil, Vikram More, Gaurav Sane. Emotion Recognition Using Blue Eyes Technology. Imperial Journal of Interdisciplinary Research . 2016;2(1):87– 91p.
  3. Mondal DD, Arti Gupta, Tarang Soni, Neha Dandekar. Blue Eyes Technology, International Research Journal of Engineering and Technology . 2018;5(4):4107–4111p.
  4. Priti Kumari, Loveleen Kumar. A Review on Blue Eye Technology . International Journal of Advanced Engineering Research and Science. 2015;2(2):49–54p.
  5. Malarmathi V, Chandra E. A survey on speech recognition . International Journal of Computer Trends and Technology. Sep 2013;4(9).
  6. Gaurav N Mehta, Jimish K Desai, Devang G Chavda . Blue eyes-human-operator monitoring system . International Journal of Scientific Engineering and Technology . July 2012;1(3):91–95p.
  7. Chandani Suryawanshi, T Raju . Blue eyes technology. International Journal for Scientific Research & Development . 2014;2(1):639–644p. Snapshot Extract eye portion Compare images in database Play audio or video according to mood Blue Eye Technology Sainwar et al. JoARB (2020) 15-18 © STM Journals 2020. All Rights Reserved Page 18
  8. Mepits. (2014). Blue Eyes Technology — Monitoring Human Operator and Intelligence sensing System. [Online] Available from https://www.mepits.com/p roject/184/embedded-projects/blue-eyes- technology-monitoring-human-operator- and-intelligence-sensing-system [Accessed March 2020].
  9. Pawel Tarnowski, Marcin Kol odziej, Andrzej Majkowski, Remigiusz J Rak. Emotion recognition from human eye expression. Procedia Computer Science . 2017;108:1175–1184p.
  10. Koelstra S, Patras I. Fusion of facial expressions and EEG for implicit affective tagging. Image and Vision Computing . 2013;31(2):164–174. Cite this Article Sushama Sainwar , Shalini Ku lshrestha, Anil Kumar Sharma . Blue Eye Technology. Journal of Advancements in Robotics. 2020; 7(1): 15–18p.
Support