Simulation on Emotion Recognition for Autism Therapy
This paper mainly focusing on the simulation of emotion recognition software based on the Local Binary Pattern (LBP) algorithm to extract the features from the image. The program will be used by the therapist during therapy session with the autism child in order to create more exciting environmen...
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Universiti Teknologi PETRONAS
2017
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my-utp-utpedia.228082022-02-27T04:30:59Z http://utpedia.utp.edu.my/22808/ Simulation on Emotion Recognition for Autism Therapy Adzmi, Muhammad Azrin TK Electrical engineering. Electronics Nuclear engineering This paper mainly focusing on the simulation of emotion recognition software based on the Local Binary Pattern (LBP) algorithm to extract the features from the image. The program will be used by the therapist during therapy session with the autism child in order to create more exciting environment for them to learn about the classification of basic human emotions with the help of human-computer interaction. Automated facial expression analysis is an exciting and challenging trouble, and impacts critical applications in many regions which includes human–computer interaction and information-driven animation. Deriving an effective facial representation from authentic face snap shots is an essential step for a success facial features reputation. On this paper, we empirically evaluate facial representation based totally on statistical local functions, neighborhood Binary styles, for person-independent facial expression recognition. Distinctive system gaining knowledge of strategies are systematically examined on numerous databases. Universiti Teknologi PETRONAS 2017-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22808/1/Final%20Dissertation.pdf Adzmi, Muhammad Azrin (2017) Simulation on Emotion Recognition for Autism Therapy. Universiti Teknologi PETRONAS. (Submitted) |
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TK Electrical engineering. Electronics Nuclear engineering Adzmi, Muhammad Azrin Simulation on Emotion Recognition for Autism Therapy |
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This paper mainly focusing on the simulation of emotion recognition software based on
the Local Binary Pattern (LBP) algorithm to extract the features from the image. The program
will be used by the therapist during therapy session with the autism child in order to create
more exciting environment for them to learn about the classification of basic human emotions
with the help of human-computer interaction. Automated facial expression analysis is an
exciting and challenging trouble, and impacts critical applications in many regions which
includes human–computer interaction and information-driven animation. Deriving an effective
facial representation from authentic face snap shots is an essential step for a success facial
features reputation. On this paper, we empirically evaluate facial representation based totally
on statistical local functions, neighborhood Binary styles, for person-independent facial
expression recognition. Distinctive system gaining knowledge of strategies are systematically
examined on numerous databases. |
format |
Final Year Project |
author |
Adzmi, Muhammad Azrin |
author_facet |
Adzmi, Muhammad Azrin |
author_sort |
Adzmi, Muhammad Azrin |
title |
Simulation on Emotion Recognition for Autism Therapy |
title_short |
Simulation on Emotion Recognition for Autism Therapy |
title_full |
Simulation on Emotion Recognition for Autism Therapy |
title_fullStr |
Simulation on Emotion Recognition for Autism Therapy |
title_full_unstemmed |
Simulation on Emotion Recognition for Autism Therapy |
title_sort |
simulation on emotion recognition for autism therapy |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2017 |
url |
http://utpedia.utp.edu.my/22808/1/Final%20Dissertation.pdf http://utpedia.utp.edu.my/22808/ |
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1739832993099284480 |
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13.211869 |