Robotic Assistive Technologies: Principles and Practice

King, P. F.; Martínez, Elizabeth Guevara

doi:10.1109/mpuls.2020.2972726

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within this context, Assistive Technology (AT) contributes directly to the reduction of difficulties encountered by people with disabilities in their daily lives. Assistive Technology allows them to live independently, healthy, and productively, to receive education and be participants in the labor market and society in a worthy manner [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

Freitas

Piai

Farias

et al. 2022

Sensors

View full text Add to dashboard Cite

According to the World Health Organization, about 15% of the world’s population has some form of disability. Assistive Technology, in this context, contributes directly to the overcoming of difficulties encountered by people with disabilities in their daily lives, allowing them to receive education and become part of the labor market and society in a worthy manner. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things (AIoT) devices. AIoT processes and analyzes the large amount of data generated by Internet of Things (IoT) devices and applies Artificial Intelligence models, specifically, machine learning, to discover patterns for generating insights and assisting in decision making. Based on a systematic literature review, this article aims to identify the machine-learning models used across different research on Artificial Intelligence of Things applied to Assistive Technology. The survey of the topics approached in this article also highlights the context of such research, their application, the IoT devices used, and gaps and opportunities for further development. The survey results show that 50% of the analyzed research address visual impairment, and, for this reason, most of the topics cover issues related to computational vision. Portable devices, wearables, and smartphones constitute the majority of IoT devices. Deep neural networks represent 81% of the machine-learning models applied in the reviewed research.

show abstract

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

Freitas

Piai

Farias

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

The use of artificial intelligence for persons with disability: a bright and promising future ahead

Kumar,

Barik,

Aggarwal

et al. 2023

Disability and Rehabilitation: Assistive Technology

View full text Add to dashboard Cite

Artificial Intelligence

Ahmad,

Shokeen,

Raj

2024

Advances in Educational Technologies and Instructional Design

View full text Add to dashboard Cite

The evolution of Artificial Intelligence (AI) has significantly transformed various fields, including education, by introducing advanced techniques and algorithms. This transformation encompasses tasks such as convergence, classification, identification, recognition, and beyond, integrating knowledge from sociology, psychology, ethics, computer science and pedagogy. The historical milestones of AI, from the early works of Turning and McCarthy to the recent advancements in Large Language Models (LLMs) like ChatGPT, demonstrate AI's progression and its impact on education. Recent advancements in AI, including Internet of Thing, Machine Learning, Augmented Reality, and Virtual Reality, have transformed the educational landscape, making it more inclusive and accessible for individuals with disabilities. This chapter proposes AI as solution to the field of special education particularly while addressing the needs of CwSN in mainstream settings. The research conducted in the past suggests that the use AI has greater advantages over traditional methods of teaching to the CwSN.

show abstract

Robotic Assistive Technologies: Principles and Practice

Cited by 3 publications

References 0 publications

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review

The use of artificial intelligence for persons with disability: a bright and promising future ahead

Artificial Intelligence

Contact Info

Product

Resources

About