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Study on Bicycle-Based Real-Time Information Feedback System by Using IoT

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Next Generation Information Processing System

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1162 ))

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Abstract

IoT means connecting, establishing communication between objects by using the Internet. This paper presents a study reports on how bicycling by using IoT becomes an exact health tool and major benefit in terms of health monitor. Nowadays, the bicycle is the most popular exercise in metro cities. At the same time, high-speed Internet and various sensors combination based on IoT devices are widely used. Although, bicycles have all known benefits to health but they fail to provide cyclists person exact health benefits information. If no information, people lose charm to do cycling in the long term. Therefore, this system introduced bicycle-based real-time data feedback system based on combining smartphones and IoT. After completing cycling exercise, the person can see the cycling-related data through the software. This methodology has used various types of sensors for collecting data like handling, orientation, and balancing sensors. This system is to provide real time, correct, and complete data to cyclists for the best experience and to improve their fitness. Data on heartbeat, cycling speed, total time taken to complete, distance traveled, and energy levels are calculated.

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References

  1. Akins, K., Goodson, M., Skeggs, P., Rumbaugh, S., Zyla, C.: Bicycle theft monitoring and recovery devices. US Patent App. 13/712,831 (2013)

    Google Scholar 

  2. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  3. Bahl, P., Padmanabhan, V.N., Bahl, V., Padmanabhan, V.: Radar: An in-building RF-based user location and tracking system (2000)

    Google Scholar 

  4. Dias, A.C., Postolache, O.: Cyclist performance assessment based on wsn and cloud technologies. In: 2018 International Conference and Exposition on Electrical And Power Engineering (EPE), pp. 1041–1046. IEEE (2018)

    Google Scholar 

  5. Guinard, D., Trifa, V.: Towards the web of things: Web mashups for embedded devices. In: Workshop on Mashups, Enterprise Mashups and Lightweight Composition on the Web (MEM 2009), Proceedings of WWW (International World Wide Web Conferences), Madrid, Spain, vol. 15 (2009)

    Google Scholar 

  6. Händel, P., Ohlsson, J., Ohlsson, M., Skog, I., Nygren, E.: Smartphone-based measurement systems for road vehicle traffic monitoring and usage-based insurance. IEEE Syst. J. 8(4), 1238–1248 (2013)

    Article  Google Scholar 

  7. Hao, X., Jin, P., Yue, L.: Efficient storage of multi-sensor object-tracking data. IEEE Trans. Parallel Distrib. Syst. 27(10), 2881–2894 (2015)

    Article  Google Scholar 

  8. Hickman, R.C., Bobbitt, J.E., Tanner, J.C., Lau, P.W.S., Friedman, M.T., Mullally, J.P.: Internet database system. US Patent 6,523,036 (2003)

    Google Scholar 

  9. Kumar, G.A., Kumar, A.S., Kumar, A.A., Maharajothi, T.: Road quality management system using mobile sensors. In: 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–6. IEEE (2017)

    Google Scholar 

  10. Lee, S., Chong, I.: User-centric intelligence provisioning in web-of-objects based iot service. In: 2013 International Conference on ICT Convergence (ICTC), pp. 44–49. IEEE (2013)

    Google Scholar 

  11. Liu, Y., Zhou, G.: Key technologies and applications of internet of things. In: 2012 Fifth International Conference on Intelligent Computation Technology and Automation, pp. 197–200. IEEE (2012)

    Google Scholar 

  12. Mohammadi, M., Al-Fuqaha, A., Sorour, S., Guizani, M.: Deep learning for iot big data and streaming analytics: a survey. IEEE Commun. Surv. Tutorials 20(4), 2923–2960 (2018)

    Article  Google Scholar 

  13. Nissanka, S., Senevirathna, M., Dharmawardana, M.: Iot based automatic storing and retrieval system. In: 2016 Manufacturing and Industrial Engineering Symposium (MIES), pp. 1–5. IEEE (2016)

    Google Scholar 

  14. Pantelopoulos, A., Bourbakis, N.G.: A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 40(1), 1–12 (2009)

    Google Scholar 

  15. Pendor, R.B., Tasgaonkar, P.: An iot framework for intelligent vehicle monitoring system. In: 2016 International Conference on Communication and Signal Processing (ICCSP), pp. 1694–1696. IEEE (2016)

    Google Scholar 

  16. Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85–117 (2015)

    Article  Google Scholar 

  17. Shahid, N., Aneja, S.: Internet of things: Vision, application areas and research challenges. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 583–587. IEEE (2017)

    Google Scholar 

  18. Shamszaman, Z.U., Lee, S., Chong, I.: Woo based user centric energy management system in the internet of things. In: The International Conference on Information Networking 2014 (ICOIN2014), pp. 475–480. IEEE (2014)

    Google Scholar 

  19. Sheng, X., Tang, J., Zhang, W.: Energy-efficient collaborative sensing with mobile phones. In: 2012 Proceedings IEEE INFOCOM, pp. 1916–1924. IEEE (2012)

    Google Scholar 

  20. Svozil, D., Kvasnicka, V., Pospichal, J.: Introduction to multi-layer feed-forward neural networks. Chemometr. Intell. Lab. Syst. 39(1), 43–62 (1997)

    Article  Google Scholar 

  21. Wijerathne, N., Viswanath, S.K., Hasala, M.S., Beltran, V., Yuen, C., Lim, H.B.: Towards comfortable cycling: A practical approach to monitor the conditions in cycling paths. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 778–783. IEEE (2018)

    Google Scholar 

  22. Zhao, Y.X., Su, Y.S., Chang, Y.C.: A real-time bicycle record system of ground conditions based on internet of things. IEEE Access 5, 17525–17533 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of ECE, Aditya Engineering College, Surampalem, India

    Guthula Hema Mutya Sri, Galla Bharggav & Rajasekhar Manda

  2. Accendere Knowledge Management Services Pvt. Ltd., CL Educate Ltd., New Delhi, India

    Durgesh Nandan

Authors
  1. Guthula Hema Mutya Sri
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  2. Galla Bharggav
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  3. Rajasekhar Manda
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  4. Durgesh Nandan
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Corresponding author

Correspondence to Durgesh Nandan .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India

    Prachi Deshpande

  2. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  3. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Maharashtra, India

    Brijesh Iyer

  4. School of Information Science and Engineering, University of Jinan, Jinan, Shandong, China

    Kun Ma

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Sri, G.H.M., Bharggav, G., Manda, R., Nandan, D. (2021). Study on Bicycle-Based Real-Time Information Feedback System by Using IoT. In: Deshpande, P., Abraham, A., Iyer, B., Ma, K. (eds) Next Generation Information Processing System. Advances in Intelligent Systems and Computing, vol 1162 . Springer, Singapore. https://doi.org/10.1007/978-981-15-4851-2_15

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