Kinetic Power Gyms for Revolutionizing Fitness

Year : 2025 | Volume : 12 | Issue : 02 | Page : 13-21
    By

    Renuka Dnyanoba Todakar,

  • Jadhav Vaibhavi Kishor,

  • IR. Kazi Kutubuddin Sayyad Liyakat,

  1. Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
  3. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_194613’);});Edit Abstract & Keyword

We are constantly looking for ways to make our lives more sustainable, from reducing our carbon footprint to conserving energy. But what if your workout could contribute to a more sustainable future? Enter the Kinetic Gym, a concept that aims to harness the kinetic energy generated by gym-goers and convert it into usable electricity. The idea is simple: traditional exercise machines, like stationary bikes, treadmills, and elliptical trainers, generate significant amounts of kinetic energy. Instead of dissipating this energy as heat, the Kinetic Gym utilizes specially designed equipment that captures this energy and converts it into electricity. This electricity can then be used to power the gym itself, reducing its reliance on the electrical grid and lowering its carbon emissions. The Kinetic Gym represents a promising step towards a more sustainable future. By harnessing the power of human movement, we can transform our workouts into a source of clean energy. As the technology matures and becomes more affordable, we can expect to see more gyms adopting this innovative approach, paving the way for a healthier and more sustainable world. So, next time you are at the gym, remember that you are not just working on your fitness, you could be powering the future.

Keywords: Kinetic power, gym, fitness, energy generation, healthier lifestyles

[This article belongs to Journal of Telecommunication, Switching Systems and Networks ]

How to cite this article:
Renuka Dnyanoba Todakar, Jadhav Vaibhavi Kishor, IR. Kazi Kutubuddin Sayyad Liyakat. Kinetic Power Gyms for Revolutionizing Fitness. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(02):13-21.
How to cite this URL:
Renuka Dnyanoba Todakar, Jadhav Vaibhavi Kishor, IR. Kazi Kutubuddin Sayyad Liyakat. Kinetic Power Gyms for Revolutionizing Fitness. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(02):13-21. Available from: https://journals.stmjournals.com/jotssn/article=2025/view=0


document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_194613’);});Edit

References

1. Mulani AO, Bang AV, Birajadar GB, Deshmukh AB, Jadhav HM, Liyakat KK. IoT Based Air, Water, and Soil Monitoring System for Pomegranate Farming. Ann Agri-Bio Res. 2024; 29(2): 71–86.
2. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. In ITM Web of Conferences. EDP Sciences. 2025; 76: 02010.

3. Veena C, Sridevi M, Liyakat KK, Saha B, Reddy SR, Shirisha N. HEECCNB: An efficient IoT- cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. In 2023 IEEE Seventh International Conference on Image Information Processing (ICIIP)2023 Nov 22; 407–410.
4. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In 2024 IEEE 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS).2024 Dec 12; 1735–1744.
5. Prasad KR, Karanam SR, Ganesh D, Liyakat KK, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. J High Technol Manag Res. 2024 May 1; 35(1): 100496.
6. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In 2023 IEEE International Conference on Emerging Smart Computing and Informatics(ESCI). 2023 Mar 1; 1–5.

7. Li B, Ye R, Gu G, Liang R, Liu W, Cai K. A detection mechanism on malicious nodes in IoT. Comput Commun. 2020;151:51–9. doi:10.1016/j.comcom.2019.12.037.
8. Liyakat KK. Smart Grid Energy Saving Technique Using Machine Learning. Journal of Instrumentation Technology and Innovation (JoITI). 2022; 12(3): 1–10.
9. Kazi K. AI-driven IoT (AIIoT) in healthcare monitoring. In: Nguyen TVT, Vo NTM, editors. Using Traditional Design Methods to Enhance AI-Driven Decision Making. Pennsylvania, United States:IGI Global Scientific Publishing; 2024. p. 77–101. doi:10.4018/979-8-3693-0639-0.ch003.
10. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV electrical vehicle implementation using Simulink for E-mobility ecosystems. In: Lakshmi D, Nagpal N, Kassarwani N, Varthanan GV, Siano P, editors. E-Mobility in Electrical Energy Systems for Sustainability. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 295–320.doi:10.4018/979-8-3693-2611-4.ch014.
11. Kazi KSL. Braille-Lippi numbers and characters detection and announcement system for blind children using KSK approach: AI-driven decision-making approach. In: Murugan T, Abirami AM,editors. Driving Quality Education Through AI and Data Science. IGI Global Scientific Publishing;2025. p. 531–56. doi:10.4018/979-8-3693-8292-9.ch023.
12. V v M , Z S, č J, C D, O M. M T : E meditation on mid-air tactile perception. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. New York (NY): Association for Computing Machinery; 2023. p.1–12. doi:10.1145/3544548.3581238.
13. Kazi KSL. Advancing towards sustainable energy with hydrogen solutions: Adaptation and challenges. In: Özsungur F, Semsari MC, Bayraktar HK, editors. Geopolitical Landscapes of Renewable Energy and Urban Growth. Pennsylvania, United States: IGI Global Scientific Publishing; 2025. p. 357–94. doi:10.4018/979-8-3693-8814-3.ch013.
14. Kazi KSL. Machine learning-based pomegranate disease detection and treatment. In: Zia Ul Haq M, Ali I, editors. In: Revolutionizing Pest Management for Sustainable Agriculture. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 469–98. doi:10.4018/979-8-3693-3061-6.ch019.
15. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning applications. In: Garcia MB, de Almeida RPP, editors. Transformative Approaches to Patient Literacy and Healthcare Innovation. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 112–35. doi:10.4018/979-8-3693-3661-8.ch006.
16. Kazi KSL. IoT driven by machine learning (MLIoT) for the retail apparel sector. In: Tarnanidis TK, Papachristou E, Karypidis M, Ismyrlis V, editors. Driving Green Marketing in Fashion and Retail. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 63–81. doi:10.4018/979-8-3693-3049-4.ch004.
17. Kazi KSL. AI-driven-IoT(AIIoT)-based decision making in kidney diseases patient healthcare monitoring: KSK approach for kidney monitoring. In: Polat LÖ, Polat O, editors. AI-Driven Innovation in Healthcare Data Analytics. Pennsylvania, United States: Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 277–306. doi:10.4018/979-8-3693-7277-7.ch009.
18. Kazi KSL. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation. In: Satapathy S, Muduli K, editors. Advanced Computational Methods for Agri-Business Sustainability. Pennsylvania, United States: Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 72–94. doi:10.4018/979-8-3693-3583-3.ch005.
19. Kazi KSL. Machine learning-driven Internet of Medical Things (ML-IoMT)-based healthcare monitoring system. In: Soufiene BO, Chakraborty C, editors. Responsible AI for Digital Health and Medical Analytics. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 49–86. doi:10.4018/979-8-3693-6294-5.ch003.
20. Kazi KSL. Transformation of agriculture effectuated by artificial intelligence-driven Internet of Things (AIIoT). In: Garwi J, Dzingirai M, Masengu R, editors. Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 449–84. doi:10.4018/979-8-3693-6468-0.ch015.

21. Sayyad Liyakat KK, Konnur RG. Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors. Grenze International Journal of Engineering & Technology (GIJET). 2024 Jun 15; 10:5367–5374.
22. Liyakat KKS. A novel approach on ML based palmistry. In: 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies (ACT 2024); 2024 Jun 21–22; Hyderabad, India. Grenze Int J Eng Technol. 2024;10(2):5186–93. Grenze ID: 01.GIJET.10.2.393.
23. Liyakat KK, Kutubuddin K. IoT based boiler health monitoring for sugar industries. In 15th International Conference on Advances in Computing, Control, ad Telecommunication Technologies, ACT 2024. 2024 Jun 15; 2: 5178–5185.
24. Keerthana R, Bhagyalakshmi K, Papinaidu M, Liyakat KK. Machine Learning Based Risk Assessment for Financial Management in Big Data IoT Credit. Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024). 2024 Nov 15.Available at SSRN: https://ssrn.com/abstract=5086671 or http://dx.doi.org/10.2139/ssrn.5086671
25. Latham AJ. Explainable AI in healthcare. [Online]. Center for Open Science; 2024 Mar 10. Available from: https://osf.io/fku25/ DOI: 10.17605/OSF.IO/FKU25.
26. Kazi KSL. Machine learning (ML)-based Braille Lippi characters and numbers detection and announcement system for blind children in learning. In: Sart G, editor. Social Reflections of Human-Computer Interaction in Education, Management, and Economics. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 16–39. doi:10.4018/979-8-3693-3033-3.ch002.
27. Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. In International Conference on Machine Learning, IoT and Big Data. Singapore:Springer Nature Singapore; 2023 Mar 10; 123–134.
28. Liyakat K, Sayyad K. ChatGPT: An automated teacher’s guide to learning. In: Bansal R, editor. AI Algorithms and ChatGPT for Student Engagement in Online Learning. Pennsylvania, United States:IGI Global Scientific Publishing; 2024. p. 1–20. doi:10.4018/979-8-3693-4268-8.ch001.
29. Kazi KSL. IoT technologies for the intelligent dairy industry: A new challenge. In: Thandekkattu SG, Vajjhala NR, editors. Designing Sustainable Internet of Things Solutions for Smart Industries. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 321–50. doi:10.4018/979-8-3693-5498-8.ch012.
30. Liyakat KKS. Heart health monitoring using IoT and machine learning methods. In: Shaik A, editor. AI-Powered Advances in Pharmacology. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 257–82. doi:10.4018/979-8-3693-3212-2.ch010.
31. Murray MA, Brunier G, Chung JO, Craig LA, Mills C, Thomas A, et al. A systematic review of factors influencing decision-making in adults living with chronic kidney disease. Patient Educ Couns. 2009;76:149–58. doi:10.1016/j.pec.2008.12.010. PMID: 19324509.
32. Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. In International Conference on Machine Learning, IoT and Big Data. Singapore:Springer Nature Singapore; 2023 Mar 10; 123–134.
33. Chandane ER, Patil A, Bokephode P, Shete A, Kulkarni A, Rajwani D. Landmine Detecting Robot. Int Adv Res Sci Commun Technol. 2025 Jan; 5(1): 208–219.
34. Kazi KSL, Mahant MA. Machine learning-driven Internet of Things (MLIoT)-based healthcare monitoring system. In: Wickramasinghe N, editor. Digitalization and the Transformation of the Healthcare Sector. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 205–36.doi:10.4018/979-8-3693-9641-4.ch007.
35. Reddy BM. Amalgamation of internet of things and machine learning for smart healthcare applications–a review. Int J Comput Eng Sci Res. 2023;5:8–36.
36. Odnala S, Shanthy R, Bharathi B, Pandey C, Rachapalli A, Liyakat KK. Artificial Intelligence and Cloud-Enabled E-Vehicle Design with Wireless Sensor Integration. Available at SSRN 5107242.2024 Nov 15.
37. Neeraja P, Kumar RG, Kumar MS, Liyakat KK, Vani MS. DL-based somnolence detection for improved driver safety and alertness monitoring. In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). 2024 Feb 9; 5: 589–594.

38. Sayyad Liyakat KK, Magadum PK. Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems. Grenze International Journal of Engineering & Technology(GIJET). 2024 Jan 22; 10: 2074–2080.
39. Kutubuddin KA, Nerkar PR, Sultanabanu KA. IoT-based skin health monitoring system. Int J Biol Pharm Allied Sci. 2024; 13(11): 5937–50.
40. Liyakat KK, Khadake SB, Chounde AB, Suryagan AA, HM M, Khadatare MR. AI-Driven-IoT (AIIoT) Based Decision Making System for High-Blood Pressure Patient Healthcare Monitoring. In 2024 IEEE International Conference on Sustainable Communication Networks and Application(ICSCNA). 2024 Dec 11; 96–102.
41. Kazi KSL. AI-driven IoT (AIIoT)-based decision-making system for high BP patient healthcare monitoring: KSK1 approach for BP patient healthcare monitoring. In: Mzili T, Arya AK, Pamucar D, Shaheen M, editors. Optimization, Machine Learning, and Fuzzy Logic. Pennsylvania, United States: IGI Global Scientific Publishing; 2025. p. 71–102. doi:10.4018/979-8-3693-7352-1.ch003.
42. Kazi KSL. AI-powered IoT (AI IoT) for decision-making in smart agriculture: KSK approach for smart agriculture. In: Hai-Jew S, editor. Enhancing Automated Decision-Making through AI. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p. 67–96. doi:10.4018/979-8-3693-6230-3.ch003.
43. Kazi KSL. KK approach to increase resilience in Internet of Things: A T-Cell security concept. In: Darwish D, Charan K, editors. Analyzing Privacy and Security Difficulties in Social Media: New Challenges and Solutions. Pennsylvania, United States: IGI Global Scientific Publishing; 2024. p.87–120. doi:10.4018/979-8-3693-9491-5.ch005.
44. Kazi KSL. KK approach for IoT security: T-cell concept. In: Kumar R, Peng SL, Jain P, Elngar AA, editors. Deep Learning Innovations for Securing Critical Infrastructures. Pennsylvania, United States: IGI Global Scientific Publishing; 2025. p. 369–90. doi:10.4018/979-8-3373-0563-9.ch022.
45. Kazi KSL. Healthcare monitoring system driven by machine learning and Internet of medical things (MLIoMT). In: Kumar VV, Katina PF, Zhao J, editors. Convergence of Internet of Medical Things (IoMT) and Generative AI. Pennsylvania, United States: IGI Global Scientific Publishing; 2025. p.385–416. doi:10.4018/979-8-3693-6180-1.ch016.
46. Liyakat KS, Liyakat KK. PV Power Control for DC Microgrid Energy Storage Utilisation. Journal of Digital Integrated Circuits in Electrical Devices. 2023; 8(3): 1–8.
47. Kazi SS, Liyakat KK. Polymer applications in energy generation and storage: A forward path. Journal of Nanoscience, Nanoengineering & Applications (JoNSNEA). 2024; 14(2): 31–9.
48. Kazi KSL, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine learning for brand protection: A review of a proactive defense mechanism. In: Khan MI, Amin Ul Haq M, editors. Avoiding Ad Fraud and Supporting Brand Safety. Pennsylvania, United States: IGI Global Scientific Publishing;2025. p. 175–220. doi:10.4018/979-8-3693-7041-4.ch007.
49. Upadhyaya AN, Surekha C, Malathi P, Suresh G, Suriyan K, Liyakat KK. Pioneering Cognitive Computing for Transformative Healthcare Innovations. Available at SSRN 5086894. 2024 Nov 15.
50. Kazi KSL. AI-driven-IoT (AIIoT) decision-making system for hepatitis disease patient healthcare monitoring: KSK1 approach for hepatitis patient monitoring. In: Agarwal S, Lakshmi D, Singh L, editors. Navigating Innovations and Challenges in Travel Medicine and Digital Health. Pennsylvania,United States: IGI Global Scientific Publishing; 2025. p. 433–52. doi:10.4018/979-8-3693-8774-0.ch022.

Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 17/04/2025
Accepted 29/04/2025
Published 24/05/2025
Publication Time 37 Days
154

[first_name] [last_name]

My IP

PlumX Metrics