Adequate sanitation is crucial for human health and well-being, yet billions worldwide lack access to basic facilities. This comprehensive review examines the emerging field of intelligent sanitation systems, which leverage Internet of Things (IoT) and advanced Artificial Intelligence (AI) technologies to address global sanitation challenges. The existing intelligent sanitation systems and applications is still in their early stages, marked by inconsistencies and gaps. The paper consolidates fragmented research from both academic and industrial perspectives based on PRISMA protocol, exploring the historical development, current state, and future potential of intelligent sanitation solutions. The assessment of existing intelligent sanitation systems focuses on system detection, health monitoring, and AI enhancement. The paper examines how IoT-enabled data collection and AI-driven analytics can optimize sanitation facility performance, predict system failures, detect health risks, and inform decision-making for sanitation improvements. By synthesizing existing research, identifying knowledge gaps, and discussing opportunities and challenges, this review provides valuable insights for practitioners, academics, engineers, policymakers, and other stakeholders. It offers a foundation for understanding how advanced IoT and AI techniques can enhance the efficiency, sustainability, and safety of the sanitation industry.

Adi, E., Anwar, A., Baig, Z., et al. (2020). Machine learning and data analytics for the IoT. Neural Computing and Applications, 32(20), 16205–16233. https://doi.org/10.1007/s00521-020-04874-y

Ahmed, E., Yaqoob, I., Hashem, I. A. T., et al. (2017). The role of big data analytics in Internet of Things. Computer Networks, 129, 459–471. https://doi.org/10.1016/j.comnet.2017.06.013

Akaho, R., & Yoshioka, M. (2022). Strain Detection based on Breath and Motion Features Obtained by a Force Sensor for Smart Toilet Systems. In: Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw56347.2022.00229

Al‐Turjman, F., & Baali, I. (2019). Machine learning for wearable IoT‐based applications: A survey. Transactions on Emerging Telecommunications Technologies, 33(8). Portico. https://doi.org/10.1002/ett.3635

Alwarafy, A., Al-Thelaya, K. A., Abdallah, M., et al. (2021). A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things. IEEE Internet of Things Journal, 8(6), 4004–4022. https://doi.org/10.1109/jiot.2020.3015432

Amat Azhar, N. E., Ahmad Zubir, N. S., & Wan Mat Noor, W. A. (2013). Smart toilet. Available online: https://ir.uitm.edu.my/id/eprint/61808/1/61808.pdf (accessed on 24 October 2024)

Aqua for All. (2024). eSOS Smart Toilet Kenya. VIA Water. Available online: https://aquaforall.org/viawater/projects/esos-smart-toilet-kenya.html (accessed on 2 June 2024).

Atta, R. M. (2013). Purity sensor activated smart toilet flushing system. International Journal of Water Resources and Arid Environments, 2(1).

Bae, J.-H., & Lee, H.-K. (2018). User Health Information Analysis With a Urine and Feces Separable Smart Toilet System. IEEE Access. P. 6, 78751–78765. https://doi.org/10.1109/access.2018.2885234

Balaceanu, C., Marcu, I., Suciu, G., et al. (2019). Developing a Smart Toilet System for ageing people and persons with disabilities.In: Proceedings of the 6th Conference on the Engineering of Computer Based Systems. https://doi.org/10.1145/3352700.3352716

Bettiga, D., Lamberti, L., & Lettieri, E. (2019). Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach. Health Care Management Science, 23(2), 203–214. https://doi.org/10.1007/s10729-019-09468-2

Bharadwaj, H. K., Agarwal, A., Chamola, V., et al. (2021). A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications. IEEE Access, 9, 38859–38890. https://doi.org/10.1109/access.2021.3059858

Bimantara, I. J., Soelistianto, F. A., & Junus, M. (2022). Design and Build a Water and Electric Power Management System at Public Toilet Using Microcontroller-Based Hybrid Solar Cell. Jurnal Jartel Jurnal Jaringan Telekomunikasi, 12(2), 65–72. https://doi.org/10.33795/jartel.v12i2.305

Boonyakan, K., Heamra, N., & Changkamanon, A. (2018). Water efficient toilet: Setting a suitable automatic flushing duration. In: Proceedings of the 2018 International Conference on Digital Arts, Media and Technology (ICDAMT), 5, 143–146. https://doi.org/10.1109/icdamt.2018.8376512

Cai, W.-Z., Chou, N.-S., Tsai, M.-F., et al. (2019). Intelligent Toilet Management System with Internet of Things Technology. In: Proceedings of the 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW). https://doi.org/10.1109/icce-tw46550.2019.8992030

Chakraborty, C., & Khosravi, M. R. (2022). Intelligent Healthcare. Springer Nature Singapore. https://doi.org/10.1007/978-981-16-8150-9

Chang, Z., Liu, S., Xiong, X., et al. (2021). A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things. IEEE Internet of Things Journal, 8(18), 13849–13875. https://doi.org/10.1109/jiot.2021.3088875

Chu, X., Ilyas, I. F., Krishnan, S., et al. (2016). Data Cleaning. In: Proceedings of the Proceedings of the 2016 International Conference on Management of Data. https://doi.org/10.1145/2882903.2912574

Cid, C. A., Shafran, E., Jellal, S. I., et al. (2020). Self-diagnosis and smart maintenance prototype for sustainable and desirable onsite sanitation. In: Proceedings of the 2020 IEEE Global Humanitarian Technology Conference (GHTC). https://doi.org/10.1109/ghtc46280.2020.9342906

Coalition, T. B. (2018). Smart sanitation city: The sanitation economy at city scale. Toilet Board Coalition: Geneva, Switzerland.

Cognitive Informatics and Soft Computing. (2019). In: Mallick, P. K., Balas, V. E., Bhoi, A. K., & Zobaa, A. F. (editors). Advances in Intelligent Systems and Computing. Springer Singapore. https://doi.org/10.1007/978-981-13-0617-4

Cotera Rivera, P., & Bilton, A. M. (2021). The Development and Testing of Pour-Flush Toilet Sensors for Understanding User Interaction in Peri-Urban Households. Volume 3B: 47th Design Automation Conference (DAC). https://doi.org/10.1115/detc2021-67697

Cui, L., Yang, S., Chen, F., et al. (2018). A survey on application of machine learning for Internet of Things. International Journal of Machine Learning and Cybernetics, 9(8), 1399–1417. https://doi.org/10.1007/s13042-018-0834-5

Dalzochio, J., Kunst, R., Pignaton, E., et al. (2020). Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges. Computers in Industry, 123, 103298. https://doi.org/10.1016/j.compind.2020.103298

Daudey, L. (2017). The cost of urban sanitation solutions: a literature review. Journal of Water, Sanitation and Hygiene for Development, 8(2), 176–195. https://doi.org/10.2166/washdev.2017.058

Deshmukh, P., Mohite, A., Bhoir, H., et al. (2020). Intelligent Public Toilet Monitoring System Using IoT. In: Proceedings of the 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC). https://doi.org/10.1109/b-htc50970.2020.9297839

Dutta, R. (2016). Development of a smart toilet for automatic flushing [PhD thesis]. DIBRUGARH UNIVERSITY: DIBRUGARH.

Esposito, C., De Santis, A., Tortora, G., et al. (2018). Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy? IEEE Cloud Computing, 5(1), 31–37. https://doi.org/10.1109/mcc.2018.011791712

Ganesapillai, M., Sinha, A., Mehta, R., et al. (2022). Design and Analysis of Artificial Neural Network (ANN) Models for Achieving Self-Sustainability in Sanitation. Applied Sciences, 12(7), 3384. https://doi.org/10.3390/app12073384

Ge, T. J., Chan, C. T., Lee, B. J., et al. (2022). Smart toilets for monitoring COVID-19 surges: passive diagnostics and public health. Npj Digital Medicine, 5(1). https://doi.org/10.1038/s41746-022-00582-0

Ghosh, A., Chakraborty, D., & Law, A. (2018). Artificial intelligence in Internet of things. CAAI Transactions on Intelligence Technology, 3(4), 208–218. Portico. https://doi.org/10.1049/trit.2018.1008

Gong, M., Li, K., Tian, T., et al. (2020). Research and analysis on the development of intelligent toilet. Journal of Physics: Conference Series, 1684(1), 012038. https://doi.org/10.1088/1742-6596/1684/1/012038

Guedes, W. P., Branchi, B. A., & Bicudo da Silva, R. F. (2024). Climate-induced migration: The need to address human rights to water and sanitation for a growing displaced population. Environmental Science & Policy, 158, 103799. https://doi.org/10.1016/j.envsci.2024.103799

Hajjaji, Y., Boulila, W., Farah, I. R., et al. (2021). Big data and IoT-based applications in smart environments: A systematic review. Computer Science Review, 39, 100318. https://doi.org/10.1016/j.cosrev.2020.100318

Hua, H., Li, Y., Wang, T., et al. (2023). Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Computing Surveys, 55(9), 1–35. https://doi.org/10.1145/3555802

Huang, J.-J., Yu, S.-I., & Syu, H.-Y. (2012). Development of the Smart Toilet Equipment with Measurements of Physiological Parameters. In: Proceedings of the 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 48, 9–16. https://doi.org/10.1109/uic-atc.2012.143

Hussain, F., Hussain, R., Hassan, S. A., et al. (2020). Machine Learning in IoT Security: Current Solutions and Future Challenges. IEEE Communications Surveys & Tutorials, 22(3), 1686–1721. https://doi.org/10.1109/comst.2020.2986444

Intelligent Embedded Systems. (2018). In: Thalmann, D., Subhashini, N., Mohanaprasad, K., & Murugan, M. S. B. (editors). Lecture Notes in Electrical Engineering. Springer Singapore. https://doi.org/10.1007/978-981-10-8575-8

Kassab, W., & Darabkh, K. A. (2020). A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163, 102663. https://doi.org/10.1016/j.jnca.2020.102663

Kim, H., & Allen, D. G. (2016). Using Digital Filters to Obtain Accurate Trended Urine Glucose Levels from Toilet-Deployable Near-Infrared Spectrometers. Journal of Analytical & Bioanalytical Techniques, 7(5). https://doi.org/10.4172/2155-9872.1000338

Koohang, A., Sargent, C. S., Nord, J. H., et al. (2022). Internet of Things (IoT): From awareness to continued use. International Journal of Information Management, 62, 102442. https://doi.org/10.1016/j.ijinfomgt.2021.102442

Kouicem, D. E., Bouabdallah, A., & Lakhlef, H. (2018). Internet of things security: A top-down survey. Computer Networks, 141, 199–221. https://doi.org/10.1016/j.comnet.2018.03.012

LaValle, S., Lesser, E., Shockley, R., et al. (2010). Big data, analytics and the path from insights to value. MIT Sloan Management Review.

Li, R., Song, T., Mei, B., et al. (2019). Blockchain for Large-Scale Internet of Things Data Storage and Protection. IEEE Transactions on Services Computing, 12(5), 762–771. https://doi.org/10.1109/tsc.2018.2853167

Li, W., Chai, Y., Khan, F., et al. (2021). A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System. Mobile Networks and Applications, 26(1), 234–252. https://doi.org/10.1007/s11036-020-01700-6

Liang, J. (2020). A smart toilet appliance that detects the lid position and automatically flushes [PhD thesis]. Worcester Polytechnic Institute.

Liao, Y., de Freitas Rocha Loures, E., & Deschamps, F. (2018). Industrial Internet of Things: A Systematic Literature Review and Insights. IEEE Internet of Things Journal, 5(6), 4515–4525. https://doi.org/10.1109/jiot.2018.2834151

Liberati, A., Altman, D. G., Tetzlaff, J., et al. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of Clinical Epidemiology, 62(10), e1–e34. https://doi.org/10.1016/j.jclinepi.2009.06.006

Lin, J., Yu, W., Zhang, N., et al. (2017). A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal, 4(5), 1125–1142. https://doi.org/10.1109/jiot.2017.2683200

Lokman, A., & Ramasamy, R. K. (2019). SMART TOILET. In: Proceedings of the Proceedings of the 3rd International Conference on Big Data and Internet of Things, 56–60. https://doi.org/10.1145/3361758.3361765

Maher, N. A., Senders, J. T., Hulsbergen, A. F. C., et al. (2019). Passive data collection and use in healthcare: A systematic review of ethical issues. International Journal of Medical Informatics, 129, 242–247. https://doi.org/10.1016/j.ijmedinf.2019.06.015

Majeed, A., Zhang, Y., Ren, S., et al. (2021). A big data-driven framework for sustainable and smart additive manufacturing. Robotics and Computer-Integrated Manufacturing, 67, 102026. https://doi.org/10.1016/j.rcim.2020.102026

Mara, D. (2017). The elimination of open defecation and its adverse health effects: a moral imperative for governments and development professionals. Journal of Water, Sanitation and Hygiene for Development, 7(1), 1–12. https://doi.org/10.2166/washdev.2017.027

Mara, D., & Evans, B. (2017). The sanitation and hygiene targets of the sustainable development goals: scope and challenges. Journal of Water, Sanitation and Hygiene for Development, 8(1), 1–16. https://doi.org/10.2166/washdev.2017.048

Mohanta, B. K., Jena, D., Satapathy, U., et al. (2020). Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology. Internet of Things, 11, 100227. https://doi.org/10.1016/j.iot.2020.100227

Molenbroek, J. F. M., Mantas, J., & De Bruin, R. (2011). A Friendly Rest Room: Developing toilets of the future for disabled and elderly people. Assistive Technology Research Series, 27.

Novo, O. (2018). Blockchain Meets IoT: An Architecture for Scalable Access Management in IoT. IEEE Internet of Things Journal, 5(2), 1184–1195. https://doi.org/10.1109/jiot.2018.2812239

Ogonji, M. M., Okeyo, G., & Wafula, J. M. (2020). A survey on privacy and security of Internet of Things. Computer Science Review, 38, 100312. https://doi.org/10.1016/j.cosrev.2020.100312

Oyaert, M., & Delanghe, J. (2019). Progress in Automated Urinalysis. Annals of Laboratory Medicine, 39(1), 15–22. https://doi.org/10.3343/alm.2019.39.1.15

Pal, K. (2022). Blockchain-Integrated Internet-of-Things Architecture in Privacy Preserving for Large-Scale Healthcare Supply Chain Data. Blockchain Technology and Computational Excellence for Society 5.0, 80–124. https://doi.org/10.4018/978-1-7998-8382-1.ch006

Panek, P., Edelmayer, G., Mayer, P., & Zagler, W. L. (2011). Laboratory tests of an adjustable toilet system with integrated sensors for enhancing autonomy and safety. In: A Friendly Rest Room: Developing Toilets of the Future for Disabled and Elderly People. IOS Press. pp. 151-165.

Park, S., Won, D. D., Lee, B. J., et al. (2020). A mountable toilet system for personalized health monitoring via the analysis of excreta. Nature Biomedical Engineering, 4(6), 624–635. https://doi.org/10.1038/s41551-020-0534-9

Pilissy, T., Toth, A., Fazekas, G., et al. (2017). Towards a situation-and-user-aware multi-modal motorized toilet system to assist older adults with disabilities: A user requirements study. In: Proceedings of the 2017 International Conference on Rehabilitation Robotics (ICORR), 15, 959–964. https://doi.org/10.1109/icorr.2017.8009373

Pramod Kumar, P., Akshay, R., Achha, N., et al. (2022). Futuristic IoT-Enabled Toilet Maintenance System to Avoid Disease Transmission at Public Toilets in Smart Cities. In: Proceedings of the 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 594, 1032–1036. https://doi.org/10.1109/icscds53736.2022.9760987

Raendran, V., Kanesaraj, R., Soraya, I., et al. (2020). IoT Technology for Facilities Management: Understanding End user Perception of the Smart Toilet. International Journal of Advanced Computer Science and Applications, 11(5). https://doi.org/10.14569/ijacsa.2020.0110547

Ramasamy, R. K., Rajendran, V., & Murthy, S. (2018). Smart Toilet: An IoT implementation for optimization of resources. Available online: https://api.semanticscholar.org/CorpusID:53506617 (accessed on 24 October 2024)

Rary, E., Anderson, S. M., Philbrick, B. D., et al. (2020). Smart Sanitation—Biosensors as a Public Health Tool in Sanitation Infrastructure. International Journal of Environmental Research and Public Health, 17(14), 5146. https://doi.org/10.3390/ijerph17145146

Ray, P. P. (2018). A survey on Internet of Things architectures. Journal of King Saud University - Computer and Information Sciences, 30(3), 291–319. https://doi.org/10.1016/j.jksuci.2016.10.003

Raza, A., Ikram, A. A., Amin, A., et al. (2016). A review of low cost and power efficient development boards for IoT applications. In: Proceedings of the 2016 Future Technologies Conference (FTC). https://doi.org/10.1109/ftc.2016.7821693

Ren, Y., Leng, Y., Qi, J., et al. (2021). Multiple cloud storage mechanism based on blockchain in smart homes. Future Generation Computer Systems, 115, 304–313. https://doi.org/10.1016/j.future.2020.09.019

Reyna, A., Martín, C., Chen, J., et al. (2018). On blockchain and its integration with IoT. Challenges and opportunities. Future Generation Computer Systems, 88, 173–190. https://doi.org/10.1016/j.future.2018.05.046

Sarkar, S. K., & Bharat, G. K. (2021). Achieving Sustainable Development Goals in water and sanitation sectors in India. Journal of Water, Sanitation and Hygiene for Development, 11(5), 693–705. https://doi.org/10.2166/washdev.2021.002

Schönberger, D. (2019). Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications. International Journal of Law and Information Technology, 27(2), 171–203. https://doi.org/10.1093/ijlit/eaz004

See-To, E. W. K., Wang, X., Lee, K.-Y., et al. (2023). Deep-Learning-Driven Proactive Maintenance Management of IoT-Empowered Smart Toilet. IEEE Internet of Things Journal, 10(3), 2417–2429. https://doi.org/10.1109/jiot.2022.3211889

Shaikh, F., Shaikh, F., Sayed, K., et al. (2019). Smart Toilet Based On IoT. In: Proceedings of the 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 248–250. https://doi.org/10.1109/iccmc.2019.8819606

Shi, W., Cao, J., Zhang, Q., et al. (2016). Edge Computing: Vision and Challenges. IEEE Internet of Things Journal, 3(5), 637–646. https://doi.org/10.1109/jiot.2016.2579198

Singh, N., & Singh, A. K. (2017). Data Privacy Protection Mechanisms in Cloud. Data Science and Engineering, 3(1), 24–39. https://doi.org/10.1007/s41019-017-0046-0

Singh, S., & Jayaram, R. (2022). Attainment of water and sanitation goals: a review and agenda for research. Sustainable Water Resources Management, 8(5). https://doi.org/10.1007/s40899-022-00719-9

Sreemathy, J., Naveen Durai, K., Lakshmi Priya, E., et al. (2021). Data Integration and ETL: A Theoretical Perspective. In: Proceedings of the 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2016, 1655–1660. https://doi.org/10.1109/icaccs51430.2021.9441997

Srivastava, G., Lin, J. C.-W., Zhang, X., et al. (2021). Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things. IEEE Internet of Things Journal, 8(16), 12669–12678. https://doi.org/10.1109/jiot.2020.3026826

Sulmasy, L. S., López, A. M., & Horwitch, C. A. (2017). Ethical Implications of the Electronic Health Record: In the Service of the Patient. Journal of General Internal Medicine, 32(8), 935–939. https://doi.org/10.1007/s11606-017-4030-1

Swathy, M., Kumar, S. L., & Maniventhan, M. (2022). A Bio- Toilet attached wheelchair for physically disabled persons: An Automated Robust System. In: Proceedings of the 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), 29, 1806–1809. https://doi.org/10.1109/icaccs54159.2022.9785255

Syafaah, L., Azizah, D. F., Sofiani, I. R., et al. (2020). Self-Monitoring and Detection of Diabetes with Smart Toilet based on Image Processing and K-Means Technique. In: Proceedings of the 2020 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 8, 87–91. https://doi.org/10.1109/i2cacis49202.2020.9140182

Tajeddine, R., Gnilke, O. W., & El Rouayheb, S. (2018). Private Information Retrieval From MDS Coded Data in Distributed Storage Systems. IEEE Transactions on Information Theory, 64(11), 7081–7093. https://doi.org/10.1109/tit.2018.2815607

Tanaka, S., Nogawa, M., & Yamakoshi, K. (2005). Fully Automatic System for Monitoring Blood Pressure from a Toilet-Seat Using the Volume-Oscillometric Method. In: Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 20, 3939–3941.

Taniguchi, D., Taniguchi, M., Zhongkui Wang, & Lin Meng. (2014). A toilet danger detection system for aged people. 2014 International Electrical Engineering Congress (IEECON), 1–4. https://doi.org/10.1109/ieecon.2014.6925893

Tasoglu, S. (2022). Toilet-based continuous health monitoring using urine. Nature Reviews Urology, 19(4), 219–230. https://doi.org/10.1038/s41585-021-00558-x

Temirel, M., Yenilmez, B., & Tasoglu, S. (2021). Long-term cyclic use of a sample collector for toilet-based urine analysis. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-81842-z

The World Bank. (2023). Understanding Poverty: Sanitation. Available online: https://www.worldbank.org/en/topic/sanitation (accessed on 27 July 2023).

Tsai, C.-W., Lai, C.-F., Chao, H.-C., et al. (2015). Big data analytics: a survey. Journal of Big Data, 2(1). https://doi.org/10.1186/s40537-015-0030-3

Tsuchiyama, K., & Kajiwara, A. (2019). Accident Detection and Health-Monitoring UWB Sensor in Toilet. In: Proceedings of the 2019 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). https://doi.org/10.1109/wisnet.2019.8711812

Turman-Bryant, N., Sharpe, T., Nagel, C., et al. (2020). Toilet alarms: A novel application of latrine sensors and machine learning for optimizing sanitation services in informal settlements. Development Engineering, 5, 100052. https://doi.org/10.1016/j.deveng.2020.100052

Wan Mohammed, W. M. F., Roslee, Z., & Hassan, P. I. I. (2013). Electronic toilet. Available online: https://ir.uitm.edu.my/id/eprint/62719 (access on 24 October 2024)

Wang, Q., Zhu, X., Ni, Y., et al. (2020). Blockchain for the IoT and industrial IoT: A review. Internet of Things, 10, 100081. https://doi.org/10.1016/j.iot.2019.100081

Wang, X. J., & Camilleri, M. (2020). A smart toilet for personalized health monitoring. Nature Reviews Gastroenterology & Hepatology, 17(8), 453–454. https://doi.org/10.1038/s41575-020-0320-x

Wang, Y., Zhang, A., Zhang, P., et al. (2019). Cloud-Assisted EHR Sharing With Security and Privacy Preservation via Consortium Blockchain. IEEE Access, 7, 136704–136719. https://doi.org/10.1109/access.2019.2943153

World Health Organization. (2022). WHO global water, sanitation and hygiene: annual report 2020. World Health Organization.

Xiao, Z., & Xiao, Y. (2013). Security and Privacy in Cloud Computing. IEEE Communications Surveys & Tutorials, 15(2), 843–859. https://doi.org/10.1109/surv.2012.060912.00182

Xiaomi Community. (2024). Smart toilet seat cover: Redefine your toilet experience. Available online: https://c.mi.com/us/thread-2555314-1-0.html (accessed on 2 June 2024).

Yang, H., Ma, J., & Chattopadhyay, A. (2021). How Xiaomi became an internet-of-things powerhouse. Business Review.

Yang, P., Xiong, N., & Ren, J. (2020). Data Security and Privacy Protection for Cloud Storage: A Survey. IEEE Access, 8, 131723–131740. https://doi.org/10.1109/access.2020.3009876

Yoon, W. J., Shakir, M., & Ali, Y. S. (2018). Design and Development of a Smart Multifunction Toilet Wheelchair (SMTW). 2018 15th International Conference on Ubiquitous Robots (UR), 4, 702–707. https://doi.org/10.1109/urai.2018.8441871

Yu, W., Liang, F., He, X., et al. (2018). A Survey on the Edge Computing for the Internet of Things. IEEE Access, 6, 6900–6919. https://doi.org/10.1109/access.2017.2778504

Zakaria, F., Thye, Y. P., Hooijmans, C. M., et al. (2017). User acceptance of the eSOS® Smart Toilet in a temporary settlement in the Philippines. Water Practice and Technology, 12(4), 832–847. https://doi.org/10.2166/wpt.2017.090

Zhang, H., Sun, S., & Zhang, H. (2022). Design and realization of smart toilet flushing water temperature performance detection system. In: Proceedings of the Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 1684, 50. https://doi.org/10.1117/12.2628646

Zhang, Z., Shi, Q., He, T., et al. (2021). Artificial intelligence of toilet (AI-Toilet) for an integrated health monitoring system (IHMS) using smart triboelectric pressure sensors and image sensor. Nano Energy, 90, 106517. https://doi.org/10.1016/j.nanoen.2021.106517

Zhao, L., Zhang, H., Wang, Q., et al. (2022). Digital Twin Evaluation of Environment and Health of Public Toilet Ventilation Design Based on Building Information Modeling. Buildings, 12(4), 470. https://doi.org/10.3390/buildings12040470