Skip to main content
SpringerLink
Log in

Smart Active Helmet

  • Conference paper
  • First Online:
EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

  • 686 Accesses

Abstract

As living space becomes wider, new wider sophisticated gadgets are required for human well-being. New technology and innovations prove that they help human kind for comfortable living. Always prevention is better than cure. Life has to live with healthy and comfort. This research paper briefs about the essence of life with special designed gadget, namely, smart active helmet has been incorporated in doing a smart, intelligent action which helps the life span of humans. The most precious and gift of God is birth. Saving the life is a challenging and essential for all needs of people prosperity. This new gadget named “Smart Active Helmet” prevents from accidents and saves lifetime. The smart active helmet plays a vital role in alcohol testing using a fuel cell sensor. This sensor detects alcohol-consuming victim and forward the details to the central hub in cloud internet. The hub on analysis of the blood alcohol content of the victim takes a respective action to continue riding the motor cycle or triggers the ignition interlock device (IID) in motor cycle to lock and avoid from further operation. The result of this research work brings about the detail insight of its requirements, roles, functions and salient features with challenges and limitations. So using smart active helmet can able to overcome from the road accidents and thereby providing a safe environment.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. B. Nassi, L. Rokach, Y. Elovici, Virtual Breathalyzer” arXiv:1612.05083v1 [cs.Hc] 14 December (2016)

    Google Scholar 

  2. L. Biljana, R. Stojkoska, K.V. Trivodaliev, A review of Internet of things for smart home: challenges and solutions. J Cleaner Prod 140, 1454–1464 (2017). https://doi.org/10.1016/j.jclepro.2016.10.006

    Article  Google Scholar 

  3. J. Dai, J. Teng, X. Bai, Z. Shen, D. Xuan, Mobile phone based drunk driving detection, in Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS (IEEE, 2010), pp. 1–8

    Google Scholar 

  4. Davin E. Lopez, Luis M. Ortiz, Beverages disguise for handheld breathalyzer interface of ignition interlock device, United States Patent. Patent No. US 8590364B2

    Google Scholar 

  5. A.J. Fernandez-Ares, A.M. Mora, S.M. Odeh, P. Garcia-Sanchez, Wireless monitoring and tracking system for vehicles: a study case in an urban scenario. Simul. Model. Pract. Theory 73, 22–42

    Article  Google Scholar 

  6. G. Loukas, Y. Yoon, G. Sakellari, T. Vuong, R. Heartfield, Computation offloading of a vehicle continuous intrusion detection workload for energy efficiency and performance. Simul. Model. Pract. Theory 73, 83–94 (2017)

    Article  Google Scholar 

  7. N. Gershenfeld, R. Krikorian, D. Cohen, The Internet of things. Sci. Am. 291(4), 76–81 (2004)

    Article  Google Scholar 

  8. N. Gomathi, S. Kumar, Internet of things based accident detection and prevention. IJMET 8(9), 196–204 (2017)

    Google Scholar 

  9. T.D. Goswami, S.R. Zanwar, Z.U. Hasan, Android based rush and drunk driver alerting system. Int. J. Eng. Res. Appl. 4, 1–4 (2014)

    Google Scholar 

  10. R. Hardy, E. Rukzio, Touch & interact: touch-based interaction of mobile phones with displays, in Proceedings of ACM MobileHCI ’08, Amsterdam, The Netherlands, September (2008)

    Google Scholar 

  11. J. Hernandez, D. McDuff, R.W. Picard, Biowatch: estimation of heart and breathing rates from wrist motions, in Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2015), pp. 169–176

    Google Scholar 

  12. J. Xu, J.J. Han, Y. Zhang, YU.’a. Sun, B. Xie, Studies on alcohol sensing mechanism of ZnO based gas sensors. Sens. Actuators B 132, 334–339 (2008)

    Article  Google Scholar 

  13. T. Jinkawa, G. Sakai, J. Tamaki, N. Miura, N. Yamazoe, Relationship between alcohol gas sensitivity and surface catalytic property of tin oxide sensors modified with acidic or basic oxides. J. Mol. Catal. A 155, 193–200 (2000)

    Article  Google Scholar 

  14. K.I. Ozoemena, S. Musa, R. Modise, Fuel cell-based breath-alcohol sensors: innovation hungry old electrochemistry. Curr Opin Electrochem (2018). 10. 10.1016/j.coelec.2018.05.007

    Google Scholar 

  15. L. Atzori, A. Iera, G. Morabito, The Internet things: a survey. Computer Networks 54, 2787–2805 (2010)

    Article  Google Scholar 

  16. Michael W. Walter, Douglas E. Devries, 2011 Ignition Interlock Breathalyzer, United states Patent, Patent No: US 7934577B2, Date of Patent: May 3 (2011)

    Google Scholar 

  17. M.R. Rahman Jesse, T.S. Allan, M.Z. Ghavidel, L.E. Prest, F.S. Saleh, E.B. Easton, The application of power-generating fuel cell electrode materials and monitoring methods to breath alcohol sensors. Sens. Actuators B 228, 448–457 (2016)

    Article  Google Scholar 

  18. R.M. Altarawneh, P. Majidi, P.G. Pickup, Determination of the efficiency of ethanoloxidation in a proton exchange membrane electrolysis cell. J. Power Sources 351, 106–114 (2017)

    Article  Google Scholar 

  19. B. Sterling, Shaping Things—Mediawork Pamphlets (MIT Press, 2005)

    Google Scholar 

  20. W. ding, S. Zhang, Z. Zhao, A collaboration calculation on real time stream in smart cities. Simul. Model. Pract. Theory 10, 1016 (2017)

    Google Scholar 

  21. W. Xu, M.-C. Huang, N. Amini, J. J. Liu, L. He, and M. Sarrafzadeh, Smart insole: a wearable system for gait analysis, in Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments. ACM (2012), p. 18.

    Google Scholar 

  22. N. Yamazoe, G. Sakai, K. Shimanoe, Oxide semiconductor gas sensors. Catal. Surv. Asia 7, 63–75 (2003)

    Article  Google Scholar 

  23. N. Yamazoe, New approaches for improving semiconductor gas sensors. Sens. Actuators B 5, 7–19 (1991)

    Article  Google Scholar 

  24. Z.H. Mir, F. Filali, Large scale simulations and performance evaluation of connected cars—A V2V communication perspective. Simul. Model. Pract. Theory 73, 55–71 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Loyola Institute of Technology, Chennai, Tamil Nadu, India

    W. Gracy Theresa

  2. School of Information and Technology Information Science and Technology, VIT, Vellore, Tamil Nadu, India

    A. Gayathri

Authors
  1. W. Gracy Theresa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Gayathri
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Anandakumar Haldorai

  2. Department of Computer Science & Engineering, Presidency University, Bengaluru, India

    Arulmurugan Ramu

  3. Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Sudha Mohanram

  4. Department of Electrical Engineering, Faculty of Engineering, University of Malaysia, Kuala Lumpur, Kuala Lumpur, Malaysia

    Chow Chee Onn

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Theresa, W.G., Gayathri, A. (2020). Smart Active Helmet. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C. (eds) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-19562-5_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-19562-5_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19561-8

  • Online ISBN: 978-3-030-19562-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation