IoT-Based Shoe for Enhanced Mobility and Safety of Visually Impaired Individuals

Authors

  • Bakshish Singh Raj Kumar Goel Institute of Technology
  • Pongkit Ekvitayavetchanuku Khon Kaen University image/svg+xml
  • Bharti Shah GLS University image/svg+xml
  • Neeraj Sirohi IMS Engineering College
  • Prachi Pundhir ABES Engineering College image/svg+xml

DOI:

https://doi.org/10.4108/eetiot.4823

Keywords:

Internet of Things, IoT technologies, embedded sensors, microcontroller, navigation, blind individuals

Abstract

 

This research paper presents the design, development, and evaluation of an Internet of Things (IoT)- based shoe system to enhance the mobility and safety of visually impaired individuals. The proposed shoe leverages IoT technologies, embedded sensors, and wireless communication to provide real-time information and assistance to blind individuals during their daily activities. The system encompasses a wearable shoe device equipped with sensors, a microcontroller unit, and a companion mobile application that relays important data and alerts the user. The effectiveness of the IoT-based shoe is evaluated through a series of user tests and feedback surveys. The results demonstrate the potential of this innovative solution to empower blind individuals, improve their independence, and promote a safer environment for their navigation.

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References

Mohd Javaid, Abid Haleem, Shanay Rab, Ravi Pratap Singh, Rajiv Suman.: Sensors for daily life: A review; Sensors International Volume 2, 2021, 100121. https://doi.org/10.1016/j.sintl.2021.100121 DOI: https://doi.org/10.1016/j.sintl.2021.100121

Mohd Javaid, Bikash Pradhan, Saugat Bhattacharyya, Kunal Pal: IoT-Based Applications in Healthcare Devices; Journal of Healthcare Engineering, (Special Issue: Medical Internet of Things (IoT) Devices Volume 2021, Article ID 6632599, https://doi.org/10.1155/2021/6632599 DOI: https://doi.org/10.1155/2021/6632599

Kevin M Overmann, Danny T.Y Wu, Catherine T Xu, Shwetha S Bindhu, and Lindsey Barrick: Real-time locating systems to improve healthcare delivery: A systematic review; J Am Med Inform Assoc. 2021 Jun; 28(6): 1308–1317. https://doi: 10.1093/jamia/ocab026 DOI: https://doi.org/10.1093/jamia/ocab026

Rafał Kot: Review of Obstacle Detection Systems for Collision Avoidance of Autonomous Underwater Vehicles Tested in a Real Environment; Electronics 2022, 11(21), 3615, (Special Issue: Pattern Recognition and Sensor Fusion Solutions in Intelligent Sensor Systems). https://doi.org/10.3390/electronics11213615 DOI: https://doi.org/10.3390/electronics11213615

José Manuel Lozano Domínguez, Faroq Al-Tam, Tomás de J. Mateo Sanguino and Noélia Correia: Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks; Sensors 2020, 20(21), 6019; https://doi.org/10.3390/s20216019 DOI: https://doi.org/10.3390/s20216019

Tharushi Kalinga, Chapa Sirithunge, A.G. Buddhika, P. Jayasekara, Indika Perera: A Fall Detection and Emergency Notification System for Elderly; Published in 2020 6th International Conference on Control, Automation and Robotics (ICCAR), IEEE. DOI: 10.1109/ICCAR49639.2020.9108003 DOI: https://doi.org/10.1109/ICCAR49639.2020.9108003

HyeongYeop Kang, Geonsun Lee, JungHyun Han: Obstacle Detection and Alert System for Smartphone AR Users; VRST '19: Proceedings of the 25th ACM Symposium on Virtual Reality Software and Technology November 2019 Article No.: 2 Pages 1–11. https://doi.org/10.1145/3359996.3364256 DOI: https://doi.org/10.1145/3359996.3364256

Chendong Liu, Yilin Zhang, Huanyu Zhou: A Comprehensive Study of Bluetooth Low Energy; November 2021Journal of Physics Conference Series 2093(1):012021, DOI:10.1088/1742-6596/2093/1/01202 DOI: https://doi.org/10.1088/1742-6596/2093/1/012021

D. Hazry, M. Sofian, A. Zul Azfar: Study of Inertial Measurement Unit Sensor; Proceedings of the International Conference on Man-Machine Systems (ICoMMS) 11 – 13 October 2009, Batu Ferringhi, Penang, MALAYSIA. http://dspace.unimap.edu.my/bitstream/handle/123456789/7317

Article: https://www.toptal.com/designers/ux/settings-ux

Muhammad Babar, Mohammad Dahman Alshehri, Muhammad Usman Tariq, Fasee Ullah, Atif Khan, M. Irfan Uddin, and Ahmed S. Almasoud: IoT-Enabled Big Data Analytics Architecture for Multimedia Data Communications; Wireless Communications and Mobile Computing Volume 2021, Article ID 5283309, 9 pages. https://doi.org/10.1155/2021/5283309 DOI: https://doi.org/10.1155/2021/5283309

Elsa J. Harris, I-Hung Khoo,Emel Demircan: A Survey of Human Gait-Based Artificial Intelligence Applications; Front. Robot. AI, 03 January 2022 Sec. Biomedical Robotics Volume 8 - 2021 | https://doi.org/10.3389/frobt.2021.749274 DOI: https://doi.org/10.3389/frobt.2021.749274

Article: https://www.nngroup.com/articles/measuring-perceived-usability

Review Paper: https://link.springer.com/article/10.1007/s10209-017-0570-8

Stefan Johansson, Jan Gulliksen & Catharina Gustavsson: Disability digital divide: the use of the internet, smartphones, computers and tablets among people with disabilities in Sweden; Universal Access in the Information Society, Volume 20, pages 105–120, (2021). https://doi.org/10.1007/s10209-020-00714-x DOI: https://doi.org/10.1007/s10209-020-00714-x

Alvaro Muro-de-la-Herran, Begonya Garcia-Zapirain, and Amaia Mendez-Zorrilla: Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications; Sensors (Basel). 2014 Feb; 14 (2): 3362–3394. https://doi.org/10.3390/s140203362 DOI: https://doi.org/10.3390/s140203362

Book: https://www.sciencedirect.com/topics/computer-science/proximity-sensor

J. Robert Warmbrod: Reporting and Interpreting Scores Derived from Likert-type Scales; Journal of Agricultural Education, 55(5), 30-47. doi: 10.5032/jae.2014.05030 DOI: https://doi.org/10.5032/jae.2014.05030

Article: https://researchmethod.net/research-gap

Weijun Tao, Tao Liu, Rencheng Zheng and Hutian Feng: Gait Analysis Using Wearable Sensors; Sensors 2012, 12(2), 2255-2283; https://doi.org/10.3390/s120202255 DOI: https://doi.org/10.3390/s120202255

Dhrubajyoti Gogoi, Rupam Kumar Sharma: Android Based Emergency Alert Button; International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-4, March 2013

Christopher Dong, Xing Liu: Development of Android Application for Language Studies; December 2013 IERI Procedia 4:8-16 DOI:10.1016/j.ieri.2013.11.003 DOI: https://doi.org/10.1016/j.ieri.2013.11.003

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Published

11-01-2024

How to Cite

[1]
B. Singh, P. Ekvitayavetchanuku, B. Shah, N. Sirohi, and P. Pundhir, “IoT-Based Shoe for Enhanced Mobility and Safety of Visually Impaired Individuals”, EAI Endorsed Trans IoT, vol. 10, Jan. 2024.