Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application
This paper continues the research of the previous work, regarding PandaSays mobile application, having its main purpose to detect the affective state of the child from his drawings, using MobileNet neural network. Children diagnosed with autism spectrum disorder, have difficulties in expressing thei...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/10/11/202 |
| _version_ | 1797465616021454848 |
|---|---|
| author | Aura-Loredana Popescu Nirvana Popescu |
| author_facet | Aura-Loredana Popescu Nirvana Popescu |
| author_sort | Aura-Loredana Popescu |
| collection | DOAJ |
| description | This paper continues the research of the previous work, regarding PandaSays mobile application, having its main purpose to detect the affective state of the child from his drawings, using MobileNet neural network. Children diagnosed with autism spectrum disorder, have difficulties in expressing their feelings and communicating with others. The purpose of PandaSays mobile application, is to help parents and tutors that have children diagnosed with autism, to communicate better with them and to understand their feelings. The main goal was to improve the model’s accuracy, trained with MobileNet neural network, which reached the value of 84.583%. For training the model, it was used Python programming language. The study focuses further on accessibility and its importance to children diagnosed with autism. Relevant screenshots of the mobile application are presented, in order to indicate that the application follows the accessibility guidelines and rules. Finally, there is presented the interaction with Marty robot and the efficiency of mobile application’s drawing prediction. |
| first_indexed | 2024-03-09T18:24:25Z |
| format | Article |
| id | doaj.art-5e8cb6c5fb5449aaab1bc4d3110945e3 |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-03-09T18:24:25Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-5e8cb6c5fb5449aaab1bc4d3110945e32023-11-24T08:01:36ZengMDPI AGComputation2079-31972022-11-01101120210.3390/computation10110202Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile ApplicationAura-Loredana Popescu0Nirvana Popescu1Computer Science Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaComputer Science Department, University Politehnica of Bucharest, 060042 Bucharest, RomaniaThis paper continues the research of the previous work, regarding PandaSays mobile application, having its main purpose to detect the affective state of the child from his drawings, using MobileNet neural network. Children diagnosed with autism spectrum disorder, have difficulties in expressing their feelings and communicating with others. The purpose of PandaSays mobile application, is to help parents and tutors that have children diagnosed with autism, to communicate better with them and to understand their feelings. The main goal was to improve the model’s accuracy, trained with MobileNet neural network, which reached the value of 84.583%. For training the model, it was used Python programming language. The study focuses further on accessibility and its importance to children diagnosed with autism. Relevant screenshots of the mobile application are presented, in order to indicate that the application follows the accessibility guidelines and rules. Finally, there is presented the interaction with Marty robot and the efficiency of mobile application’s drawing prediction.https://www.mdpi.com/2079-3197/10/11/202machine learningneural networksautismhumanoid robotsmobile applicationdrawing interpretation |
| spellingShingle | Aura-Loredana Popescu Nirvana Popescu Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application Computation machine learning neural networks autism humanoid robots mobile application drawing interpretation |
| title | Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application |
| title_full | Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application |
| title_fullStr | Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application |
| title_full_unstemmed | Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application |
| title_short | Drawing Interpretation Using Neural Networks and Accessibility Implementation in Mobile Application |
| title_sort | drawing interpretation using neural networks and accessibility implementation in mobile application |
| topic | machine learning neural networks autism humanoid robots mobile application drawing interpretation |
| url | https://www.mdpi.com/2079-3197/10/11/202 |
| work_keys_str_mv | AT auraloredanapopescu drawinginterpretationusingneuralnetworksandaccessibilityimplementationinmobileapplication AT nirvanapopescu drawinginterpretationusingneuralnetworksandaccessibilityimplementationinmobileapplication |