Baby cry-sensitive armband design for parents with hearing loss

Abstract

This study was carried out to design an armband for parents with hearing impairment or hearing loss. The main purpose of the study is to design a warning system by taking advantage of the distribution of sound at different intensity values and analyzing the quiet environment, speech sound and baby crying sounds in the propagation area. Sound analysis is carried out by collecting the data within the scope of the study and a vibration warning system is developed based on the analysis. Data is sent from the radio in the baby's room to the parent's armband via radio frequencies. The changes in sound data for a total of 20 seconds were analyzed. Based on these changes, it was determined that the amplitude of the silent environment was 600 delta, the speech sound environment was in the range of 1300-1600 delta and the baby crying sound could reach up to 1650 delta and above. it is seen that the speech sounds exhibit an increase of approximately 75% compared to the silent environment, while the changes in the baby crying sound increase by 102.5% compared to the silent environment. These increases indicate that the system can work effectively in wearable technologies.

Keywords

• Hearing loss
• healthy living
• delta value
• amplitude
• wearable technology
• vibration

References

1. [1] Bonato, P. (2010). Advances in wearable technology and its medical applications. Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, Argentina, 2010, pp. 2021-2024, doi: 10.1109/IEMBS.2010.5628037.
2. [2] Nagapoornima, P., Ramesh, A., Srilakshmi et al. Universal hearing screening. The Indian Journal of Pediatrics, 74, 545–549 (2007). https://doi.org/10.1007/s12098-007-0105-z
3. [3] Babaroğlu, A. (2017). Hearing Impaired Children in Turkey and Their Education. US-China Education Review, 7(1), 32-37. doi: 10.17265/2161-6248/2017.01.004
4. [4] Karmel, A., Sharma, A., & Garg, D. (2019). IoT based assistive device for deaf, dumb and blind people. Procedia Computer Science, 165, 259-269. https://doi.org/10.1016/j.procs.2020.01.080
5. [5] Kılıç, H. Ö. (2017). Giyilebilir teknoloji ürünleri pazarı ve kullanım alanları. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(4), 99-112.
6. [6] McDaid, D., Park, A. L., & Chadha, S. (2021). Estimating the global costs of hearing loss. International journal of audiology, 60(3), 162-170. https://doi.org/10.1080/14992027.2021.1883197
7. [7] Demirci, Ş. (2018). Giyilebilir Teknolojilerin Sağlık Hizmetlerine ve Sağlık Hizmet Kullanıcılarına Etkileri. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 6 (6), 985-992. Retrieved from https://dergipark.org.tr/en/pub/anemon/issue/39085/377427
8. [8] Ajami, S., & Teimouri, F. (2015). Features and application of wearable biosensors in medical care. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences, 20(12), 1208. (Ajami S, Teimouri F. Features and application of wearable biosensors in medical care. J Res Med Sci. 2015 Dec; 20(12), 1208-1215. doi: 10.4103/1735-1995.172991.

9. [9] Yalçınkaya, B., & Yılmaz, D. (2011). Elektronik Tekstillerin, Tekstil Endüstrisindeki Yeri ve Giyilebilir Tekstilde Kullanılan İletken Lifler. Tekstil Teknolojileri Elektronik Dergisi, 5(1), 61-71.
10. [10] Koştı, G., Burmaoğlu, S. & Kıdak, L. B. (2021). Sağlık 4.0: sanayide öngörülen gelişimin sağlık sektörüne yansımaları. Hacettepe Sağlık İdaresi Dergisi, 24(3), 483-506 . Retrieved from https://dergipark.org.tr/en/pub/hacettepesid/issue/65158/875660
11. [11] Yağanoğlu, M., & Köse, C. (2018). Real-time detection of important sounds with a wearable vibration based device for hearing-impaired people. Electronics, 7(4), 50. https://doi.org/10.3390/electronics7040050
12. [12] Çiçek, M. (2015). Wearable technologies and its future applications. International Journal of Electrical, Electronics and Data Communication, 3(4), 45-50.
13. [13] Ebong, A., Chen, N., Unsur, V., Chowdhury, A., & Damiani, B. (2016). Innovative front grid design, four-streets and five-busbars (4S-5BB), for high efficiency industrial Al-BSF silicon solar cell. IEEE Electron Device Letters, 37(4), 459-462. https://doi.org/10.1109/LED.2016.2528048
14. [14] Yoon, C. H., Choi, S. H., Lee, H. J., Kang, H. J., & Kim, M. K. (2019). Predictive biomarkers for graft rejection in pig‐to‐non‐human primate corneal xenotransplantation. Xenotransplantation, 26(4), e12515. https://doi.org/10.1111/xen.12515
15. [15] Zhang, Y., Shao, L., & Snoek, C. G. (2021). Repetitive activity counting by sight and sound. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 14070-14079).
16. [16] Mouawad, P., Dubnov, T., & Dubnov, S. (2021). Robust detection of COVID-19 in cough sounds: using recurrence dynamics and variable Markov model. SN Computer Science, 2(1), 34. https://doi.org/10.1007/s42979-020-00422-6
17. [17] Doğan, H. & Çataltepe, Ö. A. (2018). Gürültünün İnsan Sağlığı Üzerine Etkileri. Sağlık ve Spor Bilimleri Dergisi, 1 (1) , 29-38.
18. [18] Alves Araujo, F., Lima Brasil, F., Candido Lima Santos, A., de Sousa Batista Junior, L., Pereira Fonseca Dutra, S., & Eduardo Coelho Freire Batista, C. (2017). Auris system: Providing vibrotactile feedback for hearing impaired population. BioMed research international, 2017. https://doi.org/10.1155/2017/2181380
19. [19] Moon, N. W., Baker, P. M., & Goughnour, K. (2019). Designing wearable technologies for users with disabilities: Accessibility, usability, and connectivity factors. Journal of Rehabilitation and Assistive Technologies Engineering, 6, 2055668319862137. https://doi.org/10.1177/2055668319862137
20. [20] Cavdir, D. (2022, June 9). Touch, Listen, (Re)Act: Co-designing Vibrotactile Wearable Instruments for Deaf and Hard of Hearing. NIME 2022. https://doi.org/10.21428/92fbeb44.b24043e8