Lucy-The Visualizer

  • Unique Paper ID: 144380
  • Volume: 3
  • Issue: 11
  • PageNo: 39-42
  • Abstract:
  • In today’s hyper-connected world of smart devices and appliances our technology has lots of Intelligence Quotient, but no Emotional Quotient and lots of cognitive intelligence but no emotional intelligence. “The average application uses 10% of the human’s emotion. Imagine what they could do with 100%”. This tagline was the inspiration for the project. So, we thought of taking a step ahead in the evolution of applications. The main goal of this project is to make the application to understand the human’s emotions and respond to it by using AdaBoost algorithm and OpenCV library. AdaBoost is a machine learning algorithms which if formed from a sequence of weak classifier. Each of weak classifier forms a cascade and contributes a strong classifier in this project as face detector.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{144380,
        author = {Nikesh Kumar B K and Sharath Kumar S and Baskar M},
        title = {Lucy-The Visualizer},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {11},
        pages = {39-42},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144380},
        abstract = {In today’s hyper-connected world of smart devices and appliances our technology has lots of Intelligence Quotient, but no Emotional Quotient and lots of cognitive intelligence but no emotional intelligence. “The average application uses 10% of the human’s emotion. Imagine what they could do with 100%”. This tagline was the inspiration for the project. So, we thought of taking a step ahead in the evolution of applications. The main goal of this project is to make the application to understand the human’s emotions and respond to it by using AdaBoost algorithm and OpenCV library. AdaBoost is a machine learning algorithms which if formed from a sequence of weak classifier. Each of weak classifier forms a cascade and contributes a strong classifier in this project as face detector.},
        keywords = {Emotion recognition, Face detection, Responding to Emotions, AdaBoost.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 3
  • Issue: 11
  • PageNo: 39-42

Lucy-The Visualizer

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