Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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Development of a Backpack-Based Wearable Proximity Detection System

  • Shin, Hyungsub (Human-Tech Convergence Program, Department of Clothing & Textiles, Hanyang University) ;
  • Chang, Seokhee (Dept. of Textiles, Merchandising & Fashion Design, Seoul National University) ;
  • Yu, Namgyenong (Nobrand) ;
  • Jeong, Chaeeun (Dept. of Clothing & Textiles, Hanyang University) ;
  • Xi, Wen (Dept. of Clothing & Textiles, Hanyang University) ;
  • Bae, Jihyun (Human-Tech Convergence Program, Department of Clothing & Textiles, Hanyang University)
  • Received : 2022.08.05
  • Accepted : 2022.09.16
  • Published : 2022.10.31
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Abstract

Wearable devices come in a variety of shapes and sizes in numerous fields in numerous fields and are available in various forms. They can be integrated into clothing, gloves, hats, glasses, and bags and used in healthcare, the medical field, and machine interfaces. These devices keep track individuals' biological and behavioral data to help with health communication and are often used for injury prevention. Those with hearing loss or impaired vision find it more difficult to recognize an approaching person or object; these sensing devices are particularly useful for such individuals, as they assist them with injury prevention by alerting them to the presence of people or objects in their immediate vicinity. Despite these obvious preventive benefits to developing Internet of Things based devices for the disabled, the development of these devices has been sluggish thus far. In particular, when compared with people without disabilities, people with hearing impairment have a much higher probability of averting danger when they are able to notice it in advance. However, research and development remain severely underfunded. In this study, we incorporated a wearable detection system, which uses an infrared proximity sensor, into a backpack. This system helps its users recognize when someone is approaching from behind through visual and tactile notification, even if they have difficulty hearing or seeing the objects in their surroundings. Furthermore, this backpack could help prevent accidents for all users, particularly those with visual or hearing impairments.

Keywords

Acknowledgement

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean Government (NRF-2022R1A2C2010760).

References

  1. Alkhalifa, S., & Al-Razgan, M. (2018). Enssat - Wearable technology application for the deaf and hard of hearing. Multimedia Tools and Applications, 77(17), 22007-22031. doi:10.1007/s11042-018-5860-5
  2. Awolusi, I., Marks, E., & Hallowell, M. (2018). Wearable technology for personalized construction safety monitoring and trending - Review of applicable devices. Automation in construction, 85, 96-106. doi:10.1016/j.autcon.2017.10.010
  3. Cho, G. S., Yang, Y. J., & Sung, M. S. (2008). Development and its present status of bio-monitoring smart clothing and e-textiles. Fashion & Textile Research Journal, 10(1), 1-10.
  4. Choi, S. U., Lee, G. H., Kim, W. J., Lee, B. J., Chong, Y. M., & Cho, D. U. (2016). Development of ultrasonic sensors detecting LED by utilizing Arduino. Proceedings of Symposium of the Korean Institute of communications and Information Sciences, pp. 443-444.
  5. Ercan, S. U. & Mohammed, M. S. (2020). Distance measurement and object detection system based on ultrasonic sensor and Xbee. Duzce University Journal of Science & Technology, 8(2), 1706-1719. doi:10.29130/dubited.634256
  6. Haghi, M., Thurow, K., & Stoll, R. (2017). Wearable devices in medical internet of things - Scientific research and commercially available devices. Healthcare Informatics Research, 23(1), 4-15. doi:10.4258/hir.2017.23.1.4
  7. Jeon, A. G., Jeong, D., & Lee, S. H. (2019). Development of wearable device for hearing impaired people using Arduino. International Journal of Advanced Smart Convergence, 8(4), 214-220. doi:10.7236/IJASC.2019.8.4.214
  8. Ko, J. Y. (2017). Smart safety hat for elderly pedestrians. Journal of Korea Multimedia Society, 20(8), 1387-1394. doi:10.9717/kmms.2017.20.8.1387
  9. Ko, Y. J., & Kim, S. H. (2020). Arduino-based smart portable appliance for the visually impaired. In Proceedings of the Korea Information Processing Society Conference, Korea, pp.1074-1076 doi:10.3745/PKIPS.y2020m11a.1074
  10. Kratz, S. & Rohs, M. (2009). Hoverflow - Exploring around-device interaction with IR distance sensors. In Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, Germany, pp.1-4. doi:10.1145/1613858.1613912
  11. Lee, S. M., & Lee, D. (2020). Healthcare wearable devices - An analysis of key factors for continuous use intention. Service Business, 14(4), 503-531. doi:10.1007/s11628-020-00428-3
  12. Martinsen, P. (2017). Three methods to filter noisy Arduino measurements. Megunolink. Retrieved July 27, 2022, from https://www.megunolink.com/articles/coding/3-methods-filter-noisy-arduino-measurements/
  13. McIntosh, J., Marzo, A., & Fraser, M. (2017). Sensir - Detecting hand gestures with a wearable bracelet using infrared transmission and reflection. In Proceedings of the 30th annual ACM symposium on user Interface Software and Technology, Canada, pp. 593-597. doi:10.1145/3126594.3126604
  14. Oppenheim, A., & Schafer, R. (1975). Digital signal processing. Englewood Cliffs, NJ: Prentice-Hall,
  15. Park, J. Y., Ahn, C. G., Kim, L. H., Ha, S. D., & Park, S. H. (2006). Development of a wearable computer interface for aurally impaired persons. Proceeding of Symposium of the HCI Society of Korea, Korea, pp. 57-62.
  16. Park, S. S., Park, H. G., Park, S. C., Jeon, M. P., & Lee, B. J. (2019). Child-to-school vehicle safety accident prevention system utilizing video and PIR Sensor. The Journal of The Korea Institute of Electronic Communication Sciences, 14(6), 1019-1024. doi:10.13067/JKIECS.2019.14.6.1019
  17. Sim, J., Seo, I. S., Lee, J. G., Jang, H. K., & Lee, H. Y. (2019). Sensing fall detection using wearable smart belt for elderly. Communications of the Korean Institute of Information Scientists and Engineer, Korea, pp.1327-1329.
  18. Smith, S.W. (1997). The scientist & engineer's guide to digital signal processing. San Diego: California Technical Pub.
  19. Sohn, S. Y., Woo, H. J., & Cho, D. S. (2017). An illegal parking management system based on the proximity sensor. In Proceeding of Korean Institute of Information Scientists and Engineers, Korea, pp. 1833-1835.
  20. Song, H. Y., Kim, J. E., & Kim, T. N. (2020). Artificial intelligence and health communication. Journal of Communication Research, 57(3), 196-238. doi:10.22174/jcr.2020.57.3.196
  21. Taghipour, J. (2017). The effect of filtering on proximity sensors. Unpublished master's thesis, California State Polytechnic University, Pomona, USA.