Skip to main content
Log in

Camera Based Wearable Devices: A Strategic Survey from 2010 to 2021

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Technology is becoming more portable, easy to use and helping the human beings in day to day life. Smart wearable devices are widely used in many fields nowadays. Wearables can deliver unique value to users and to others who access the data they collect. Wearable devices are gaining attention in capacities related to processing, sensing, storing and communication. It is the main reason that several publications are available on wearable technology, but still there is no survey manuscript available for camera based wearables. So, this work is focused on the camera based wearable devices and its applications in various areas. In camera based wearable devices, captured images are used as input and user is informed after processing the information. This paper provides classification of camera based wearables, a discussion on architectures, data processing aspects, and market position etc.. Finally, the survey highlights the Challenges, future trends and solutions of camera based wearables.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data Availability

Not applicable.

Code Availability

Not applicable.

References

  1. Sullivan, S. (2017). Designing for Wearables. Effective UX for Current and Future Devices. O’Reilly Media.

    Google Scholar 

  2. Khoa, T. V. A. (2015). Wearable Smart Technologies: New Era of Technology. Master’s Thesis. Lapland University of Applied Sciences.

  3. Ozcan, K., & Velipasalar, S. (2016). Wearable camera- and accelerometer-based fall detection on portable devices. IEEE Embedded Systems Letters, 8, 6–9.

    Article  Google Scholar 

  4. Delabrida, S.E., Dangelo, T.,Oliveira, R.A.R., & Loureiro, A.A.F. (2015). Towards a wearable device for monitoring ecological environments. In Proceedings of the 2015 Brazilian symposium on computing systems engineering (SBESC 2015), Foz do Iguacu, Brazil, 3–6 November 148–153

  5. Patel, K., & Bhatt, N. (2019). IoT enabled wearable camera for emerging application world. International Journal of Advanced Networking Applications, 10(06), 4090–4093. https://doi.org/10.35444/IJANA.2019.10067

    Article  Google Scholar 

  6. Han, L., Li, Z., Zhang, H., & Chen, D. (2010). Wearable observation supporting system for face identification based on wearable camera. In 3rd IEEE international conference on computer science and information technology (ICCSIT), 7, 91–95

  7. Sazonov, E., & Michael, R. (2014). Wearable Sensors- Fundamentals. Academic Press is an imprint of Elsevier.

    Google Scholar 

  8. Garcia, G., & Nahapetian, A. (2015). Wearable computing for image-based indoor navigation of the visually impaired. In Proceedings of the conference on Wireless Health. doi: https://doi.org/10.1145/2811780.2811959

  9. Tapu, R., Mocanu, B., Zaharia, T. (2013). A computer vision system that ensure the autonomous navigation of blind people. In E-Health and bioengineering conference (EHB), 1–4

  10. Wenqin, S., Wei, J., & Jian, C. (2011). A machine vision based navigation system for the blind. In IEEE International conference on computer science and automation engineering (CSAE). 3. 81–85

  11. Jafri, R., & Ali, S.A. (2014). Exploring the Potential of eyewear-based wearable display devices for use by the visually impaired. In Proceedings of the 3rd international conference on user science and engineering (i-USEr), Shah Alam, Malaysia, 119–124

  12. Chen, S., Yao, D., Cao, H., & Shen, C. (2019). A novel approach to wearable image recognition systems to aid visually impaired people. Applied Sciences, 9(16), 3350.

    Article  Google Scholar 

  13. Watanabe, E., Ozeki, T., & Kohama, T. (2015). Digitization of hand-written notes using a wearable camera. International Journal of Information and Education Technology, 5(10), 723–727.

    Article  Google Scholar 

  14. Maddison, R., Cartledge, S., Rogerson, M., Goedhart, N. S., Tarveen, R. S., Neil, C., Phung, D., & Ball, K. (2019). Usefulness of wearable cameras as a tool to enhance chronic disease self-management: Scoping review. JMIR Mhealth Uhealth, 7(1), e10371.

    Article  Google Scholar 

  15. O’Loughlin, G., Cullen, S. J., McGoldrick, A., O’Connor, S., Blain, R., O’Malley, S., & Warrington, G. D. (2013). Using a wearable camera to increase the accuracy of dietary analysis. American Journal of Preventive Medicine., 44(3), 297–301.

    Article  Google Scholar 

  16. Sun, M., Fernstrom, J. D., & Jia, W. (2010). A wearable electronic system for objective dietary assessment. Journal of the American Dietetic Association, 110(1), 48–51.

    Article  Google Scholar 

  17. Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT wearable sensors and devices in elderly care: A literature review. Sensors, 20, 2826.

    Article  Google Scholar 

  18. Lee, H., & Youm, S. (2021). Development of a wearable camera and AI algorithm for medication behavior recognition. Sensors (Basel, Switzerland), 21(11), 3594.

    Article  Google Scholar 

  19. Singhal, A., Jain, S., & Agarwal, K. (2020). Rakshak – An IoT based wearable device for women safety. International Journal of Engineering and Advanced Technology (IJEAT). 9(4)

  20. Tran, T. H. (2021). A pilot study on hand posture recognition from wrist-worn camera for human machine interaction. In International conference on advanced technologies for communications (ATC). 201–206

  21. Roy, S., Jochen, H., Liu, C., Pattie, M., & Suranga, N. (2014). A wearable text-reading device for the visually-impaired.

  22. Chauhan, S., Patkar, D., Dabholkar, A., & Nirgun, K. (2021). Ikshana: Intelligent Assisting system for visually challenged people. In 2nd international conference on smart electronics and communication (ICOSEC), 1154–1160,

  23. Wen, Y., Singh, K. K., Anderson, M., Jan, W. P., & Lee, Y. J. (2021). Seeing the unseen: Predicting the first-person camera wearer’s location and pose in third-person scenes. In IEEE/CVF international conference on computer vision workshops (ICCVW), 3439–3448

  24. Campaniço, A., Salik K., Paredes, H., & Filipe, V. (2021). Worker support and training tools to aid in vehicle quality inspection for the automotive industry

  25. Mariella, D., Cartas, A., & Radeva, P. (2019). Activity recognition from visual lifelogs: State of the art and future challenges.

  26. Oliveira-Barra, G., Bolaños, M., Talavera, E., Gelonch, O., Garolera, M., & Radeva, P. (2019). Lifelog retrieval for memory stimulation of people with memory impairment

  27. Sun, M., Jia, W., Chen, G., Hou, M., Chen, J., & Mao, Z. H. (2022). Improved wearable devices for dietary assessment using a new camera system. Sensors (Basel, Switzerland), 22(20), 8006. https://doi.org/10.3390/s22208006

    Article  Google Scholar 

  28. Ramirez, H., Velastín, S. A., Aguayo, P., Fabregas, E., & Farías, G. (2022). Human activity recognition by sequences of skeleton features. Sensors (Basel, Switzerland), 22, 3991.

    Article  Google Scholar 

  29. Zhang, T., Wang, J., Song, S., & Meng, M. Q. (2022). Wearable surgical optical tracking system based on multi-modular sensor fusion. IEEE Transactions on Instrumentation and Measurement, 71, 1–11.

    Google Scholar 

  30. Li, Y., Zhang, S., Zhu, G., Huang, Z., Wang, R., Duan, X., & Wang, Z. (2023). A CNN-based wearable system for driver drowsiness detection. Sensors, 23(7), 3475. https://doi.org/10.3390/s23073475

    Article  Google Scholar 

  31. Majrashi, K., Hamilton, M., & Uitdenbogerd, A. (2016). Correlating cross-platform usability problems with eye tracking patterns.

  32. Konde, N. (2016). Meta launches Its AR headset Meta 2 which brings virtual world into reality.

  33. Press release, BMW group (2014). Visual inspection with memory function: BMW Group tests smart eyewear for quality assurance in production. https://www.press.bmwgroup.com/global/article/detail/T0196242EN/visual-inspection-with-memory-function:-bmw-group-tests-smart-eyewear-for-quality-assurance-in-production?language=en

  34. Sin, B. (2019). Insta360's Go Is A thumb-sized action camera that shoots stabilized 1080 footage. https://www.forbes.com/sites/bensin/2019/08/28/insta360s-go-is-a-thumb-sized-action-camera-that-shoots-stabilized-1080-footage/?sh=73cb462e7e11

  35. https://www.semanticscholar.org/search?year%5B0%5D=1933&year%5B1%5D=2021&q=Camera%20based%20wearable%20devices&sort=relevance, Accessed on 26 December. (2021)

Download references

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

SB: Manuscript Preparation; NJ: Supervisor.

Corresponding author

Correspondence to Sanman Singh Brar.

Ethics declarations

Conflict of interest

The Authors declare that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brar, S.S., Jindal, N. Camera Based Wearable Devices: A Strategic Survey from 2010 to 2021. Wireless Pers Commun 133, 667–681 (2023). https://doi.org/10.1007/s11277-023-10787-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-023-10787-5

Keywords

Navigation