Smart Healthcare Based Living Extending Smart Home Using Internet of Things

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Authors

  • Computer Science and Engineering, Swami Vivekananda University, Shyamnagar, West Bengal, India. ,IN
  • Computer Science and Engineering, Swami Vivekananda University, Guskara, Purba Burdwan, India. ,IN
  • Computer Science and Engineering, Swami Vivekananda University, Barrackpore, West Bengal, India. ,IN

DOI:

https://doi.org/10.18311/jmmf/2023/34155

Keywords:

IoT, Smart Healthcare, Smart Home, AI, Voice Recognition.

Abstract

In the last few years, it has been noticed that the people are moving their attention to the idea of a smart home. But the main challenges are privacy, uninterrupted connectivity, ensuring safety of the data, making the right decision and of course identifying and authenticating the right person and right device. The existing automation system is targeting one or two of these issues whereas the actual need of the time is to stay fit along with all the smart facilities. In the present era of rat-race, it has become a very tough job to take care of one’s own health. Now a days, people get easily effected with various diseases as the immunity power is very low. In this research paper, we are trying to present a novel idea of that smart home which not only uses machine learning algorithm to make intelligent decisions or using block chain technology to ensure authentication or identification of the IoT devices perfect but will also help people to stay fit. This smart healthcare based living extending smart home using internet of things can easily be controlled by your voice or can also be operated by your smartphone or smart watch. With a lot of fitness activity options, it will help people to take care of their own health at their house with very minimum amount of time. This easy to use healthcare equipment can be included at the home by simple optimization of the existing furniture.

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Published

2023-07-04

How to Cite

Majhi, M., Mukherjee, S., & Nandy, R. (2023). Smart Healthcare Based Living Extending Smart Home Using Internet of Things. Journal of Mines, Metals and Fuels, 71(5), 588–592. https://doi.org/10.18311/jmmf/2023/34155

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References

Y. Nakamura, Y. Arakawa, T. Kanehira, M. Fujiwara, and K. Yasumoto, (2017): “SenStick: comprehensive sensing platform with an ultra tiny all-in-one sensor board for IoT research,” Journal of Sensors, vol. 2017, Article ID 6308302, 16 pages.

Mordorintelligence, (2022): “Global smart homes market –growth, analysis, forecast to 2022,” https:// www.mordorintelligence. com/industry-reports/global-smart-homes-market-industry? gclid=CIjd6MXjyd YCFYYDKgod4ZQFaw.

V. Ricquebourg, D. Menga, D. Durand, B. Marhic, L. Delahoche, and C. Loge, (2006): “The smart home concept: our immediate future,” in 2006 1ST IEEE International Conference on E-Learning in Industrial Electronics, pp. 23–28, Hammamet, Tunisia, 2006, IEEE.

https://www.hindawi.com/journals/sp/2020/4579291/ ?utm_source=google&u tm_medium=cpc&u tm_ campaign=HDW_MRKT_GBL _SUB_ADWO_PAI_ DY NA_JOUR_X_PJ_GROUP 3&gclid=Cj0KCQjw— 2aBhD5ARIsALiRlwDbXHBlXw5fPX1Quk_ 4VyldOM4Re1Acq-FR-JJP3Y6VXoqozPQYd_8aAuo_ EALw_wcB

smart-home-in-cut-view51531690.html&do cid= fYdOi1sAfz8WMM&tbnid=D1pOqavXyjkhHM &vet=1&w=600&h=448&itg=1&hl=en-IN&source=sh/ x/im

Healthcare in the Smart Home: A Study of Past, Present and Future Jamie Bennett*, Osvaldas Rokas and Liming Chen School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK; pp.

Smart Home Systems Based on Internet of Things Menachem Domb, pp

https://hiconsumption.com/best-home-gym-equipment/

W. Wang, (2011): “The internet of things for resident health in- formation service platform research,” in Proceedings of the IET International Conference on Communication Technology and Application (ICCTA 2011), Beijing, China, May.

E. Agu, (2013): “The smartphone as a medical device: assessing enablers, beneûts and challenges,” in Proceedings of the 2013 IEEE International Workshop of Internet-of-Things Net- working and Control (IoT-NC), pp. 48–52, New Orleans, LA, USA, June.

H.Ota, M.Chao, Y.Gao et al.,(2017): “3D printed “earable” smart devices for real-time detection of core body temperature,” ACS Sensors, vol.2, no.7, pp.990–997.

N. A. Zakaria, (2018): “IoT (Internet of Things) based infant body temperature monitoring,” in Proceedings of the 2018 2nd International Conference on Biosignal Analysis, Processing and Systems (ICBAPS), pp. 148– 153, Kuching, Malaysia, July.

A. Dinh, (2017): “Blood pressure measurement using ûnger ECG and photoplethysmogram for IoT,” in International Conference on the Development of Biomedical Engineering in Vietnam, pp. 83–89, Springer, Berlin, Germany.

P. S. Pandey, (2017): “Machine learning and IoT for prediction and detection of stress,” in Proceedings of the 2017 17th International Conference on Computational Science and its Applications (ICCSA), pp. 1–5, Trieste, Italy, July.

U. Garg, (2018): “Design and implementation of smart wheelchair for quadriplegia patients using IoT,” in Proceedings of the 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), pp. 106–110, Jalandhar, India, December.

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