Difference between revisions of "Application of Artificial Intelligence to Assist People with Hearing Impairments Learn American Sign Language"
(→People) |
(→Introduction) |
||
| Line 11: | Line 11: | ||
It is evident that sign language can improve cognitive delay in children and potentially recover cognitive decline associated with age-related hearing loss in the elderly [5,7]. Yet, there are struggles that the signing community faces. A human translator is often required to accompany them to social settings, but it is not always feasible or available. In this work, we propose a comprehensive application called ASL Buddy that looks at taking on these challenges. The app will use artificial intelligence and biometrics to teach sign language to children and adults while serving as a translational tool. | It is evident that sign language can improve cognitive delay in children and potentially recover cognitive decline associated with age-related hearing loss in the elderly [5,7]. Yet, there are struggles that the signing community faces. A human translator is often required to accompany them to social settings, but it is not always feasible or available. In this work, we propose a comprehensive application called ASL Buddy that looks at taking on these challenges. The app will use artificial intelligence and biometrics to teach sign language to children and adults while serving as a translational tool. | ||
| − | |||
| − | |||
Revision as of 03:23, 22 September 2022
ASL Application
This application intends to serve as a way to aid the deaf community and those around them by providing a pathway to teach ASL, teach spoken English, and translate between the two languages.
People
Undergraduate Student: MacKenzie Meier
Mentor: Dr. Nick Boltin
Introduction
Nearly 466 million individuals globally are functionally deaf (432 million adults, 34 million children) [1]. Almost 90% of deaf children are born to hearing parents who do not know sign language, and many do not bother to learn it [2]. While 80% of these children will improve hearing function through a cochlear implant, their language skills are significantly delayed by about 50% in comparison to normal hearing children simply because they are missing the foundation for language in their primary years [3,4,5]. Research also shows that hearing loss can lead to cognitive decline in geriatric populations. However, when individuals with age-related hearing loss had increased sensory input, researchers saw a reverse in cognitive decline and improved brain plasticity [6,7]. This can be speculated to learning sign language as it increases visual sensory input which can thus increase synaptic plasticity in the brain and reverse cognitive decline.
It is evident that sign language can improve cognitive delay in children and potentially recover cognitive decline associated with age-related hearing loss in the elderly [5,7]. Yet, there are struggles that the signing community faces. A human translator is often required to accompany them to social settings, but it is not always feasible or available. In this work, we propose a comprehensive application called ASL Buddy that looks at taking on these challenges. The app will use artificial intelligence and biometrics to teach sign language to children and adults while serving as a translational tool.
