Scientific journal paper Q1
Intelligent sensors in assistive systems for deaf people: A comprehensive review
Caio César Sabino Soares (Soares, C. C. S.); Luis Augusto Silva (Silva, L. A.); Anita Fernandes (Fernandes, A.); Gabriel Villarrubia González (Villarrubia González, G.); Valderi Leithardt (Leithardt, V. R. Q.); Wemerson Delcio Parreira (Parreira, W. D.);
Journal Title
PeerJ Computer Science
Year (definitive publication)
2024
Language
English
Country
United States of America
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Abstract
This research aims to conduct a systematic literature review (SLR) on intelligent sensors and the Internet of Things (IoT) in assistive devices for the deaf and hard of hearing. This study analyzes the current state and promise of intelligent sensors in improving the daily lives of those with hearing impairments, addressing the critical need for improved communication and environmental interaction. We investigate the functionality, integration, and use of sensor technologies in assistive devices, assessing their impact on autonomy and quality of life. The key findings show that many sensor-based applications, including vibration detection, ambient sound recognition, and signal processing, lead to more effective and intuitive user experiences. The study emphasizes the importance of energy efficiency, cost-effectiveness, and user-centric design in developing accessible and sustainable assistive solutions. Moreover, it discusses the challenges and future directions in scaling these technologies for widespread adoption, considering the varying needs and preferences of the end-users. Finally, the study advocates for continual innovation and interdisciplinary collaboration in advancing assistive technologies. It highlights the importance of IoT and intelligent sensors in fostering a more inclusive and empowered environment for the deaf and hard-of-hearing people. This review covers studies published between 2011 and 2024, highlighting advances in sensor technologies for assistive systems in this timeframe.
Acknowledgements
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Keywords
Smart sensors,Internet of Things (IoT),Assistive devices,Deaf and hard of hearing,Communication enhancement
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
PID2023-151701OB-C21 PLAUTON
MCIN/AEI/10.13039/501100011033/FEDER Comissão Europeia

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