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Embedded Neural Network Processing System for General Purpose Assistive Technology

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Assistive technology (AT) is invaluable to people with special educational needs and
disabilities, enabling them to function more efficiently. Designed with low power consumption
and a GPU capable of running AI frameworks, NVIDIA's Jetson Nano is an affordable
embedded system device. With this system, users will be mobile and connected to any
computer with an appropriate interface, and able to interact with that computer. Furthermore,
Jetson Nano has modularity, which could solve other issues related to AT in the future. For this
study, the FCOS and TOOD models were used for the cursor object detection along with the
SAHI algorithm. This study combines a Speech-to-Intent module and a Mouse Cursor
Detection module to move the computer mouse using speech commands. A USB Gadget API
can be developed in the future in order to extend the assistive technology device to provide
assistance to other USB-equipped devices using the Linux operating system in the future, as
well as using powerful embedded devices, like the Jetson Nano or Xavier, that are able to
combine additional deep learning models to enhance their functionality

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Availability

Detail Information

Series Title

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Call Number

EP BI001

Publisher

i3L, Jakarta : i3L, Jakarta., 2023

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Data science applications in education
Improving classroom teaching
Teaching/learning strategies
21st century abilities
Architectures for educational technology

Specific Detail Info

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Statement of Responsibility

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Other version/related

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