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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Main Author: Adzmi, Muhammad Azrin
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.22808 /
Published: Universiti Teknologi PETRONAS 2017
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Online Access: http://utpedia.utp.edu.my/22808/1/Final%20Dissertation.pdf
http://utpedia.utp.edu.my/22808/
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spelling 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)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Adzmi, Muhammad Azrin
Simulation on Emotion Recognition for Autism Therapy
description 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_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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score 11.62408