International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 184 - Issue 39 |
Published: Dec 2022 |
Authors: Pradeep Kumar Kaushik, Shivam Pandey, Sushil Singh Rauthan |
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Pradeep Kumar Kaushik, Shivam Pandey, Sushil Singh Rauthan . Facial Emotion Recognition and Eye-tracking based Expressive Communication Framework: Review and Recommendations. International Journal of Computer Applications. 184, 39 (Dec 2022), 20-28. DOI=10.5120/ijca2022922494
@article{ 10.5120/ijca2022922494, author = { Pradeep Kumar Kaushik,Shivam Pandey,Sushil Singh Rauthan }, title = { Facial Emotion Recognition and Eye-tracking based Expressive Communication Framework: Review and Recommendations }, journal = { International Journal of Computer Applications }, year = { 2022 }, volume = { 184 }, number = { 39 }, pages = { 20-28 }, doi = { 10.5120/ijca2022922494 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2022 %A Pradeep Kumar Kaushik %A Shivam Pandey %A Sushil Singh Rauthan %T Facial Emotion Recognition and Eye-tracking based Expressive Communication Framework: Review and Recommendations%T %J International Journal of Computer Applications %V 184 %N 39 %P 20-28 %R 10.5120/ijca2022922494 %I Foundation of Computer Science (FCS), NY, USA
This paper presents a review of the application of facial emotion recognition and eye tracking technology for mentally fit intensive speech, disabled persons. It also presents a review of the augmentative and alternative communication (AAC), already developed emotion recognition systems or frameworks and some current speech disability support devices selected from the internet. Employing these techniques, the design of simplex-based automatic real-time expressive communication system to facilitate effective interpretation of thoughts of speech-disabled is advocated in this paper. While several devices are available, some with eye-tracking capability, but there is still a need for more versatile, cost-effective device or framework and the challenge is to achieve speech like a human from AAC based device.