SavedAdd your journal

Journals / Politeknik Dergisi / 2022 / Cilt: 25 - Sayı: 1

Care4HIP: An Embedded System Design for Discerning Hear-Impaired People in Traffic

Kemal AKYOL
Abdulkadir KARACI
Muhammed TİFTİKÇİ
Pages
19–27
Publication Date
2022-03-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We think that Care4HIP offers an original and practical solution with minimal overhead for hear-impaired people.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Embedded systems are designed for many different applications including navigation, thief warning, smart home, tracking.
📊
Key Findings & Data:We designed an embedded system, Care4HIP, Care for Hearing Impaired People, which presents a solution for discerning the hear-impaired people in traffic.
💡
Conclusion & Impact:We think that Care4HIP offers an original and practical solution with minimal overhead for hear-impaired people.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Hearing-impaired people · traffic · embedded system

Abstract

Embedded systems are designed for many different applications including navigation, thief warning, smart home, tracking. We designed an embedded system, Care4HIP, Care for Hearing Impaired People, which presents a solution for discerning the hear-impaired people in traffic. Our solution aims that drivers will be able to notice the hear-impaired people. Care4HIP calculates the locational information of these people which close to the vehicle and determines the direction of these people with respect to the vehicle. Location information refers to the latitude and longitude data of each person's location. The proposed system involves server, mobile and embedded system based applications. We think that Care4HIP offers an original and practical solution with minimal overhead for hear-impaired people.

Özet

Embedded systems are designed for many different applications including navigation, thief warning, smart home, tracking. We designed an embedded system, Care4HIP, Care for Hearing Impaired People, which presents a solution for discerning the hear-impaired people in traffic. Our solution aims that drivers will be able to notice the hear-impaired people. Care4HIP calculates the locational information of these people which close to the vehicle and determines the direction of these people with respect to the vehicle. Location information refers to the latitude and longitude data of each person's location. The proposed system involves server, mobile and embedded system based applications. We think that Care4HIP offers an original and practical solution with minimal overhead for hear-impaired people.

🔖

Cite This Article

AKYOL, K., KARACI, A., TİFTİKÇİ, M. (2022). Care4HIP: An Embedded System Design for Discerning Hear-Impaired People in Traffic. Politeknik Dergisi, Cilt: 25 - Sayı: 1, 19–27. https://ajindex.com/articles/422230

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Ogawa T., Uchida Y., Nishita Y., Tange C., Sugiura S. et al., “Hearing-impaired elderly people have smaller social networks: A population-based aging study”, Archives of Gerontology and Geriatrics, 83: 75-80, (2019)
  2. Girgin M. C., “İşitme Engelli Çocukların Eğitimine Giriş”, Anadolu Üniversitesi, Eskişehir, Türkiye, (2003)
  3. Zahnert T., “The differential diagnosis of hearing loss”, Dtsch Arztebl Int, 108(25): 433–44, (2011)
  4. WHO 2019 Report. https://www.who.int/deafness/estimates/en/. Erişim Tarihi: 21.08.2019
  5. TUIK, 2002 and 2010 Report. http://www.tuik.gov.tr/PreTablo.do?alt_id=1017. Erişim Tarihi: 01.10.2019
  6. Uysal H., “Work psychology of disabled individuals: determination of perceptual and attitudinal differences”, İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 7(4): 2672-2699, (2018)
  7. Ando K., Serikawa S., Kitazono Y., “Voice recognition and information transmission system for hearing impaired people”, 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD); Hamamatsu, Japan, 53-58, (2017)
  8. Furuhashi M., Nakamura T., Kanoh M., Yamada K., “Haptic communication robot for urgent notification of hearing-impaired people”, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, 429-430, (2016)
  9. Landicho, J. A., Voisee Communicator, “An Android Mobile Application for Hearing-impaired and Blind Communications”, International Journal of Interactive Mobile Technologies (iJIM), 10(4): 26-31, (2016)
  10. S. Iselin Ertzgaard, N. Kristin, T. Sofie, H. Giske Sindberg, H. Tobias Bang, M. Cosmas, T. Tron Vedul, N. Aslam, Ø. Jon, “Prevalence of hearing impairment among primary school children in the Kilimanjaro region within Tanzania”, Int. J. Pediatr. Otorhinolaryngol. 130:109797, (2020)
  11. De Oliveira, J. R. M., Lopes, E. S., Alves, A.F., “Speech perception of hearing impaired people using a hearing aid with noise supression algorithms”, Braz. J. Otorhinolaryngol. 76: 14–17, (2010)
  12. Peddie, K.A., Kelly-Campbell, R.J., “How people with hearing impairment in New Zealand use the Internet to obtain information about their hearing health”, Comput. Human Behav. 73: 141–151, (2017)
  13. Karmel, A., Sharma, A., Pandya, M., Garg, D., “IoT based Assistive Device for Deaf, Dumb and Blind People”, in: Procedia Comput. Sci., Elsevier B.V.,