Kazi Kutubuddin Sayyad Liyakat,
- Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
Abstract
E-skin is not just a futuristic concept; it is a rapidly maturing technology with the potential to revolutionize how we interact with the world around us. While challenges remain, the advancements in materials science and sensor technology are paving the way for a future where e-skin is an integral part of our daily lives. From enhancing healthcare and empowering robots to transforming consumer electronics and virtual reality, e-skin holds the key to a more connected, intuitive, and sensory-rich future. As research progresses and manufacturing becomes more efficient, we can expect to see an increasing array of e-skin applications emerge, transforming our world one touch at a time. E-skin is more than just a technological marvel; it is a transformative tool with the potential to reshape how healthcare is delivered. Its ability to seamlessly integrate with the human body, gather real-time data, and provide personalized treatment represents a profound step forward. As this technology continues to evolve, it will likely become an indispensable part of our healthcare ecosystem, empowering patients, enabling earlier diagnoses, and fostering a more proactive and personalized approach to medicine. The future is flexible, and in the realm of healthcare, that is a truly exciting prospect.
Keywords: Sensors, healthcare, e-skin, pressure sensor, temperature sensor, design
[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]
Kazi Kutubuddin Sayyad Liyakat. E-Skin: A Revolutionized Technology. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(01):01-11.
Kazi Kutubuddin Sayyad Liyakat. E-Skin: A Revolutionized Technology. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(01):01-11. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=203790
References
- Liyakat KK. Impact of Nanotechnology on Battlefield Welfare: A Study. International journal of Nanobiotechnology. 2024; 10(2): 19–32.
- Liyakat KS, Liyakat KK. Nanosensors in Agriculture Field: A Study. International Journal of Applied Nanotechnology. 2024; 10(02): 12–22.
- Liyakat KK. Nanotechnology in Space Study. International Journal of Applied Nanotechnology. 2024; 10(02): 39–46.
- Liyakat DK. KSK Approach to Smart Agriculture: Utilizing AI-Driven Internet of Things (AI IoT). Journal of Microcontroller Engineering and Applications (JoMEA). 2024; 11(03): 21–32.
- Liyakat KK. Microwave communication in the Internet of things: A study. J RF Microwave Commun Technol. 2024;1:38–49.
- Kumar P, Das SK. Nanorobots: Types, Principles and Application. In: Robotics and Automation in Industry 4.0. India: Bentham Science Publishers; 2024 Oct 15; 1–8.
- Tate JS, Espinoza S, Habbit D, Hanks C, Trybula W, Fazarro D. Military and national security implications of nanotechnology. J Technol Stud. 2015 Apr 1; 41(1): 20–8.
- Mishra AC, Chaubey R, Srivastava SP. Implementation of nanotechnology in healthcare: immense challenges and opportunities. Biological Sciences. 2022 Jul 29; 2(3): 251–61.
- Kirti Vishwakarma MR, Vishwakarma OP. Nanotechnology: A boon for medical science. Int J Nanotechnol Appl. 2008; 2(1): 69–73.
- Sharon M. Nanotechnology’s entry into the defense arena. In: Nanotechnology in the Defense Industry: Advances, Innovation, and Practical Applications. John Wiley & Sons, Inc.; 2019 Sep 30; 1–35.
- Ahamed MI, Boddula R, Altalhi TA, editors. Polymers in Energy Conversion and Storage. Boca Raton, Florida, United States: CRC Press; 2022.
- Raj SN, Lavanya SN, Sudisha J, Shetty HS. Applications of biopolymers in agriculture with special reference to role of plant-derived biopolymers in crop protection. In: Kalia S, Avérous L, editors. Biopolymers: Biomedical and Environmental Applications. Florida, United States: John Wiley & Sons; 2011. p. 459–81. DOI: 10.1002/9781118164792.ch16.
- Jan A, Pirzadah TB, Malik B. Nanotechnology: an innovative tool to enhance crop production. In: Nanobiotechnology in Agriculture: An Approach Towards Sustainability. Cham: Springer; 2020; 163–70.
- Manojkumar S. Security and possible applications towards internet of nano things in near future. Int J Electron Devices Netw. 2022; 3(2): 36–42.
- Narkhede PV, Kharche NA. Nanoelectro-mechanical system. International Journal of Interdisciplinary Innovative Research & Development (IJIIRD). 2021; 6(1): 385–389.
- Khatun MA, Chowdhury N, Uddin MN. Malicious nodes detection based on artificial neural network in IoT environments. In 2019 IEEE 22nd International Conference on Computer and Information Technology (ICCIT). 2019 Dec 18; 1–6).
- Pradeepa M, Jamberi K, Sajith S, Bai MR, Prakash A. Student health detection using a machine learning approach and IoT. In 2022 IEEE 2nd Mysore sub section International Conference (MysuruCon). 2022 Oct 16; 1–5.
- Liu X, Abdelhakim M, Krishnamurthy P, Tipper D. Identifying malicious nodes in multihop iot networks using dual link technologies and unsupervised learning. Open J Internet Things. 2018; 4(1): 109–25.
- Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Liyakat KK. Implementation and Recognition of Waste Management System with Mobility Solution in Smart Cities using Internet of Things. In 2023 IEEE 2nd International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). 2023 Aug 23; 1661–1665.
- Hodo E, Bellekens X, Hamilton A, Dubouilh PL, Iorkyase E, Tachtatzis C, Atkinson R. Threat analysis of IoT networks using artificial neural network intrusion detection system. In 2016 IEEE International Symposium on Networks, Computers and Communications (ISNCC). 2016 May 11; 1–6.
- Kazi K. AI-Driven IoT (AIIoT) in Healthcare Monitoring. In: Using Traditional Design Methods to Enhance AI-Driven Decision Making. Hershey, PA: IGI Global; 2024; 77–101.
- Kazi K. Modelling and Simulation of Electric Vehicle for Performance Analysis: BEV and HEV Electrical Vehicle Implementation Using Simulink for E-Mobility Ecosystems. In: E-Mobility in Electrical Energy Systems for Sustainability. Hershey, PA: IGI Global; 2024; 295–320.
- Kazi KS. Computer-Aided Diagnosis in Ophthalmology: A Technical Review of Deep Learning Applications. In: Transformative Approaches to Patient Literacy and Healthcare Innovation. Hershey, PA: IGI Global; 2024; 112–35.
- Anushalini T, Sri Revathi B. Role of machine learning algorithms for wind power generation prediction in renewable energy management. IETE J Res. 2024 Apr 2; 70(4): 4319–32.
- Nerkar PM, Liyakat KK, Dhaware BU, Liyakat KS. Predictive Data Analytics Framework Based on Heart Healthcare System (HHS) Using Machine Learning. J Adv Zool. 2023; 44(Spl issue 2): 3673–86.
- Patel R, Patel M, Patel J. Real time somnolence detection system in OpenCV environment for drivers. In 2018 IEEE Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 2018 Apr 20; 407–410.
- Kose U, Sengoz N, Chen X, Saucedo JA, editors. Explainable Artificial Intelligence (XAI) in Healthcare. CRC Press; Florida, United States; 2024.
- Pelton T, Pelton LF. Adapting ChatGPT to support teacher education in mathematics. InSociety for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE). 2023 Mar 13; 1662–1670.
- Vedaraj M, Ezhumalai P. HERDE-MSNB: a predictive security architecture for IoT health cloud system. J Ambient Intell Humaniz Comput. 2021 Jul; 12: 7333–42.
- Nagesha G, Gayithri K. A Research Note on the Public–Private Partnership of India’s Infrastructure Development. J Infrastruct Dev. 2014 Dec; 6(2): 111–29.
- Hassanein AM, Yousef RA. Artificial intelligence and its applications in the garment industry. Int Des J. 2022 May 1; 12(3): 203–9.
- Hassan MY, Mohammed AG. Conversion of English characters into braille using neural network. Iraqi J Comput Commun Control Syst Eng. 2011;11:30–7.
- Alreshidi E. Smart sustainable agriculture (SSA) solution underpinned by internet of things (IoT) and artificial intelligence (AI). arXiv preprint arXiv:1906.03106. 2019 May 30.
- Sarma H, Huzuri D, Deka MK. A Real Time Implementation of an IOT based Vehicle Health Monitoring System. Int J Recent Technol Eng. 2021; 10(3): 140–143.
- Tin KH. An effective method of a person’s character or future using the palmprint images. Int J Res Sci Innov. 2016 Dec; 4(1): 9–12.
- Yeruva S, Gunuganti J, Kalva S, Salkuti SR, Kim SC. Smart Machine Health Prediction Based on Machine Learning in Industry Environment. Information. 2023 Mar 14; 14(3): 181.
- SS S, VS R, VB N, Kumar A, PS Y. A hybrid intelligent system for automated pomegranate disease detection and grading. Int J Mach Intell. 2011; 3(2): 36–44.
- Kazi KS. IoT technologies for the intelligent dairy industry: A new challenge. In: Designing Sustainable Internet of Things Solutions for Smart Industries. IGI Global; 2025; 321–350.
- Kazi SS, Bajantri G, Thite T. Remote heart rate monitoring system using IoT. Int Res J Eng Technol. 2018 Apr; 5(04): 2956–2963.
- Dhanke J, Rathee N, Vinmathi MS, Janu Priya S, Abidin S, Tesfamariam M. [Retracted] Smart Health Monitoring System with Wireless Networks to Detect Kidney Diseases. Comput Intell Neurosci. 2022; 2022(1): 3564482.
- Kazi K, Aouadni S, Aouadni I. AI-driven-IoT (AIIoT) based decision-making in drones for climate change: KSK approach. In: Recent Theories and Applications for Multi-Criteria Decision-Making. IGI Global; 2025; 311–340.
- Swathi K, Vamsi Krishna G. Prediction of Chronic Kidney Disease with Various Machine Learning Techniques: A Comparative Study. In: Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2022. Singapore: Springer Nature Singapore; 2023 Jan 1; 257–262.
- Reddy BM. Amalgamation of internet of things and machine learning for smart healthcare applications–a review. Int J Comp Eng Sci Res. 2023 Jun; 5(1): 08–36.
- Kutubuddin KA, Nerkar PR, Sultanabanu KA. IoT-based skin health monitoring system. Int J Biol Pharm Allied Sci. 2024; 13(11): 5937–50.
- Reddy KS, Ahmad SS, Tyagi AK. Artificial Intelligence and the Internet of Things-Enabled Smart Agriculture for the Modern Era. In AI Applications for Business, Medical, and Agricultural Sustainability. IGI Global; 2024; 68–99.
- Mustafa RU, McGibney A, Rea S. Trust analysis to identify malicious nodes in the social internet of things. In 2023 IEEE International Conference on Software, Telecommunications and Computer Networks (SoftCOM). 2023 Sep 21; 1–9.
- Kishor A, Chakraborty C. Artificial intelligence and internet of things based healthcare 4.0 monitoring system. Wirel Pers Commun. 2022 Nov; 127(2): 1615–31.
- Goyal N, Goel V, Anand M, Garg S. Smart vehicle: Online prognosis for vehicle health monitoring. J Innov Comput Sci Eng. 2020; 9(2): 12–22.
- Ramteke SM, HATKAR S. Segmentation of palmprint into region of interest (ROI): A survey. Int J Comput Technol. 2005; 4(2): 613–9.
- Wong TK, Mun HK, Phang SK, Lum KL, Tan WQ. Real-time machine health monitoring system using machine learning with IoT technology. In MATEC Web of Conferences. 2021; 335: 02005. EDP Sciences.
- Demolli H, Dokuz AS, Ecemis A, Gokcek M. Wind power forecasting based on daily wind speed data using machine learning algorithms. Energy Convers Manag. 2019 Oct 15; 198: 111823.
- 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.
- Thilakarathne NN, Bakar MS, Abas PE, Yassin H. Internet of things enabled smart agriculture: Current status, latest advancements, challenges and countermeasures. Heliyon. 2025 Jan 22; 11(3): e42136.
- 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
- Mulani AO, Liyakat KK, Warade NS, Patil A, Kolte MT, Kinage K, Rana M, Salunkhe SS, Jadhav VS, Nagrale M. ML-powered Internet of Medical Things Structure for Heart Disease Prediction. J Pharmacol Pharmacother. 2025:0976500X241306184.
- 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.
- 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.
- Vo QM, Cao NT, Ton-That AH. Unsafe image classification using convolutional neural network for brand safety. In 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). 2020 Dec 16; 1–4.

Research & Reviews: A Journal of Embedded System & Applications
| Volume | 13 |
| Issue | 01 |
| Received | 25/01/2025 |
| Accepted | 14/02/2025 |
| Published | 18/03/2025 |
| Publication Time | 52 Days |
Login
PlumX Metrics