Bonfring International Journal of Software Engineering and Soft Computing
Online ISSN: 2277-5099 | Print ISSN: 2250-1045 | Frequency: 4 Issues/Year
Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
A Study on EMOSPARK-A Revolution in Human Emotion through Artificial Intelligence
Abstract:
For as long as we?ve been imagining emotionally intelligent machines, we have pictured something at least mildly resembling human form. From George Lucas? C-3PO, to the recently-developed Rob kind Zeno R25, our vision for robotic companionship has typically involved two arms and two legs. Taking a different approach is inventor of the Emo Spark console Patrick Levy Rosenthal, who aims to bring artificial intelligence to consumers in the form of a cube small enough to fit in the palm of your hand. Emo Spark is an Android powered Wi-Fi/Bluetooth cube that allows users to create and interact with an emotionally concise intelligence through conversation, music, and visual media. Emo Spark will take not only gaming, but also your TV, smart phone or computer to an entirely different level from anything ever experienced before media. Over time, the cube creates a customized Emotional Profile Graph (EPG) which collects and measures a unique emotional input from the user. The EPG allows the cube to virtually ?feel? senses such as pleasure and pain; and ?expresses? those desires according to the user. The future of AI interactions is here. Emo Spark is a brand new innovation from Emo Shape, Ltd. that allows you to transfer your real life emotions and desires directly onto a digital platform using state of the art AI measurements and technology. This is the world?s first?Emotional Intelligence? device and its capabilities and benefits are unlimited. The Emo Spark uses emotion text and content analysis to measure the emotional responses of several people all at the same time.
Keywords: Android powered Wi-Fi/ Blue Tooth Cube, Artificial Intelligence, Emotional Profile Graph, Haywire, Webee Automation.
Volume: 6 | Issue: Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi
Pages: 90-92
Issue Date: October , 2016
DOI: 10.9756/BIJSESC.8250
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