Advertisement
Published in:
2024 | OriginalPaper | Chapter
Deep Learning-Enabled Smart Wearables to Assist People with Autism Spectrum Disorder in Dynamic Environments
Authors : Przemyslaw Danowski, Sunday Cookey Ekpo, Fanuel Elias, Muhammad Ijaz, Umar Raza, Raul Ochoa Carbrero
Published in: The Second International Adaptive and Sustainable Science, Engineering and Technology Conference
Publisher: Springer Nature Switzerland
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
This work aims to explore the possibilities of using a robotic emotion recognition model to help people with autism spectrum disorder improve their social skills. An OAK-D lite camera and Lenovo IdeaPad L340 Gaming were used to run a Python algorithm to estimate emotions in a stage neural network hybrid deep learning system. The data was gathered from 30 Manchester Metropolitan University engineering students.
Results showed that the idea of robotic emotion recognition works, but the algorithm could be improved, resulting in better accuracy with the hardware also due for enhancement. However, the project can expand to other areas, such as public security and mood monitoring services and combine it with other indicators, such as heart rate sensors and rapid movement detection.