학술논문

Effectiveness of Deep Learning Technologies to Assist Educational Inclusion for Children with Down Syndrome
Document Type
Conference
Source
2023 5th International Conference on Advancements in Computing (ICAC) Advancements in Computing (ICAC), 2023 5th International Conference on. :448-453 Dec, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Deep learning
Image processing
Medical treatment
Speech enhancement
Mobile applications
Convolutional neural networks
Proposals
Down Syndrome
Inclusion
CNN
LSTM
YOLOV8
MediaPipe
Language
ISSN
2837-5424
Abstract
Down Syndrome (DS) is a genetic disorder causing intellectual disability and developmental delays. Despite instances of discrimination, several individuals with DS have achieved success through proper education and community support. This research addresses the challenges faced by children with DS in terms of motor skill development, cognitive impairments, and speech difficulties with the use of Deep Learning Technologies such as LSTM, CNN machine learning models. To bridge the educational gap and improve speech intelligibility, this study focuses on oral motor exercises that enhance articulation skills. Cognitive development in individuals with DS is also a concern, prompting the proposal of a self-learning system to foster cognitive growth. Fine motor skills improvement is explored through yoga exercises, and interventions like interactive technologies are considered to enhance learning experiences. This paper discusses the development of a user-friendly mobile application for early intervention in DS, integrating interactive activities using advanced technologies and a parent therapy dashboard. The system's potential for improving developmental skills and future expansion is emphasized.