Ascertaining Human Emotions using Blue Eyes Technology
Keywords:
Human Computer Interaction, Facial Expression detection,, Galvanic skin response sensorAbstract
Blue eyes technology aims to create computational machines which can sense and understand human feelings and emotions. It uses camera, microphone and various sensors to recognize human actions and emotions and aid disabled people. There are many researches in this area, still they have some limitations. In this paper we have proposed on architecture for blue eyes technology which can identify human emotions through facial features and sensors such as Galvanic skin response sensor, heart pulse sensor, temperature sensor. This paper explores various image processing techniques such as noise removal, segmentation, image enhancement. Supervised classification technique such as artificial neural network with back propagation is used to predict emotions. This research involves many areas like Machine learning, Image processing and IoT.
References
[1]. Fu Zhizhong, Lu Lingqiao,Xian Haiying Xuju,”Human Computer International Research And Realization Based On Leg Movement Analysis”, Apperceiving Computer And Intelligence Analysis (ICACIA),2010 International Conference.
[2]. Amir Aly, Adriana Tapus,”Towards an Online Fuzzy Modeling For Human Internal States Detection”,2012 12th Internal Conference On Control, Automation Robotics And Vision Guangzhou, China ,5-7th December 2012(ICARCV2012).
[3]. Mizna Rehman Mizna, et. Al. , “Blue eyes Technology”, Eighth International Conference on Digital Information Management (ICDIM 2013), IEEE, 10-12 sept 2013.
[4]. Jigisha M. Patel ; Nikunj C. Gamit,"A review on feature extraction techniques in Content Based Image Retrieval", International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET),IEEE,2016.Page s: 2259 - 2263.
[5]. Rahmaniansyah Dwi Putri ; Harsa Wara Prabawa ; Yaya Wihardi,"Color and texture features extraction on content-based image retrieval",3rd International Conference on Science in Information Technology (ICSITech)Page s: 711 - 715 .
[6]. Liu, M., Fan, D., Zhang, X., & Gong, X. (2016, November).Human emotion recognition based on galvanic skin response signal feature selection and svm. In Smart City and Systems Engineering (ICSCSE), International Conference on (pp. 157-160).IEEE.
[7]. Koelstra, et. al. Deap: A database for emotion analysis; using physiological signals. IEEE (2012) Transactions on Affective Computing, 3(1), 18-31
[8]. https://www.irjet.net/archives/V5/i4/IRJET-V5I4913.pdf
[12]https://researchersclub.wordpress.com/2014/04/04/blue-eye-technology/
[13]https://www.academia.edu/10086667/Blue_Eyes_the_Future_Technology
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
