ReturnLearning process support for Sign Language using patterns recognition and Mixed Reality
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Colorado Convention Center, Bluebird Ballroom Lobby, Table 23
Participate and share: Poster 
Trips and ToursPresenters
Session description
Purpose & objective
The participants of this session will be able to interact through the use of a mobile device (Android based) with the detection of mathematical patterns by using the OpenCV framework that allows to process images and in this way reinforce the knowledge with new content.
Outline
Each interaction process will be no more than 5 minutes per assistant, the general activities will be listed below:
1. Explanation/Purpose of the project
2. Process for detecting images related to math
2. Include Mixed Reality
3. Receive Sign Language feedback
Supporting research
Small number enumeration processes of deaf or hard-of-hearing students: A study using eye tracking and artificial intelligence (2022, August 25). Accessed from: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.909775/full#B24
Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dynamic Signs (2023, August 2023). Accessed from: https://www.mdpi.com/2227-7390/11/17/3729
Early mathematical performance of deaf and hard of hearing toddlers in family-centred early intervention programmes (2023, April 18) Accessed from: https://www.tandfonline.com/doi/full/10.1080/14643154.2023.2201028
Session specifications
Tablet: Android, iOS
Empowered Learner
- Students use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways.
- Students understand the fundamental concepts of technology operations, demonstrate the ability to choose, use and troubleshoot current technologies and are able to transfer their knowledge to explore emerging technologies.