Sabino Soares Caio César, Silva Luis Augusto, Fernandes Anita, Villarrubia González Gabriel, Leithardt Valderi R Q, Delcio Parreira Wemerson
Polytechnic School, Universidade do Vale do Itajaí, Itajai, Santa Catarina, Brazil.
Department of Computer Science, Universidad de Salamanca, Salamanca, Spain.
PeerJ Comput Sci. 2024 Oct 24;10:e2411. doi: 10.7717/peerj-cs.2411. eCollection 2024.
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.
本研究旨在对用于聋人和听力障碍者辅助设备中的智能传感器及物联网（IoT）进行系统的文献综述（SLR）。本研究分析了智能传感器在改善听力障碍者日常生活方面的现状和前景，满足了对改善沟通和环境交互的迫切需求。我们研究了辅助设备中传感器技术的功能、集成和应用，评估了它们对自主性和生活质量的影响。关键研究结果表明，许多基于传感器的应用，包括振动检测、环境声音识别和信号处理，带来了更有效、更直观的用户体验。该研究强调了在开发无障碍和可持续辅助解决方案时，能源效率、成本效益和以用户为中心设计的重要性。此外，考虑到终端用户的不同需求和偏好，研究还讨论了扩大这些技术以实现广泛应用所面临的挑战和未来方向。最后，该研究主张在推进辅助技术方面持续创新和跨学科合作。它强调了物联网和智能传感器在为聋人和听力障碍者营造更具包容性和赋权性环境方面的重要性。本综述涵盖了2011年至2024年间发表的研究，突出了这一时期辅助系统传感器技术的进展。
