AnNing, Mazida Ahmad, Huda lbrahim, 2023. "Wearable Technology and User Health Monitoring: Design and Usability Assessment" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 1, Issue 3: 42-64.
With the continuous development of wearable technology, Chinese is increasingly widely used in the field of user health monitoring. This paper aims to explore the design and usability assessment of wearable technology and user health monitoring. Firstly, the development and application of wearable technology, including heart rate monitoring, sleep monitoring, exercise monitoring, and blood pressure monitoring. The advantages and challenges of wearable technology are also analyzed. Then it discusses the user health monitoring needs and design principles. User health monitoring needs analysis includes the key indicators of user needs research and health monitoring. Design principles and guidance mainly include interface design principles, user experience design principles, and data visualization design principles. Next, we introduced the usability assessment methods of wearable technologies, including questionnaires, user observations, user interviews, and interaction models. Considerations for the special usability assessment of wearable technologies are discussed. Then, a wearable health monitoring device was taken as an example, and the design process and iteration were analyzed, and the results of the usability assessment were also analyzed. Finally, we discuss the problems and challenges in the prospect, design, and evaluation of wearable technologies in the field of health monitoring, and look into future research directions.
[1] Grooby Ethan,Sitaula Chiranjibi,Chang Kwok T'ng,Sharkey Don,Marzbanrad Faezeh,Malhotra Atul.Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology.[J]. Pediatric Research,2023,93(2).
[2] Alduaij Y.Manal.Towards a Wearable Technology Model: Implications for Wearable Technology Adoption[J].International Journal of Information Systems in the Service Sector (IJISSS),2022,14(1).
[3] Zhang Bing designed an embedded intelligent monitoring system for the health assessment of the elderly [D]. Northeastern University, 2019.
[4] Yang Jun's multi-source data perception and analysis for health monitoring [D]. Huazhong University of Science and Technology, 2018.
[5] Research on the integration of wearable devices and TCM health management platform [J]. Modern Traditional Chinese Medicine, 2017,37 (04): 76-79.
[6] Mei Cexiang, Liu Yu, Zeng Lixia The application and development status of wearable devices in human health monitoring [J]. Electronic World, 2016, (19): 8-10.
[7] Jed launches a new smartwatch at the Mobile World Congress [J]. Gold Card Engineering, 2016, (07): 37-38.
[8] Zhang Yuchen, Jin Xinyu, Shen Jianfeng, the status quo and technical analysis of wearable health monitoring devices [J]. Journal of Medical Informatics, 2015,36 (09): 2-7.
[9] Research and design of Deming Wearable remote health monitoring and early warning system [D]. Nanchang Hangkong University, 2015.
[10] D. D. Rao, "Multimedia Based Intelligent Content Networking for Future Internet," 2009 Third UKSim European Symposium on Computer Modeling and Simulation, Athens, Greece, 2009, pp. 55-59, doi: 10.1109/EMS.2009.108.
[11] Manish Krishnan, Tong Jiang, Vivekananda Shenoy, Soumil Ramesh Kulkarni, Vinod Nair, Jeba Paulaiyan, 2020 Cloud network having multiple protocols using virtualization overlays across physical and virtualized workloads” United States Patent Application Publication, Application number- 16368381,
[12] Chanthati, Sasibhushan Rao. (2022). A Centralized Approach To Reducing Burnouts In The It Industry Using Work Pattern Monitoring Using Artificial Intelligenc. International Journal on Soft Computing Artificial Intelligence and Applications. Sasibhushan Rao Chanthati. Volume-10, Issue-1, PP 64-69.
[13] Nimeshkumar Patel, 2022.” Quantum Cryptography In Healthcare Information Systems: Enhancing Security In Medical Data Storage And Communication”, Journal of Emerging Technologies and Innovative Research, volume 9, issue 8, pp.g193-g202.
[14] Next-Generation Decision Support: Harnessing AI and ML within BRMS Frameworks (N. R. Palakurti , Trans.). (2023). International Journal of Creative Research In Computer Technology and Design, 5(5), 1-10.
[15] Naga Ramesh Palakurti, 2023. AI-Driven Personal Health Monitoring Devices: Trends and Future Directions, ESP Journal of Engineering & Technology Advancements 3(3): 41-51.
[16] Naga Ramesh Palakurti, 2023. "Evolving Drug Discovery: Artificial Intelligence and Machine Learning's Impact in Pharmaceutical Research" ESP Journal of Engineering & Technology Advancements 3(3): 136-147.
[17] Ayyalasomayajula, M., & Chintala, S. (2020). Fast Parallelizable Cassava Plant Disease Detection using Ensemble Learning with Fine Tuned AmoebaNet and ResNeXt-101. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 3013–3023.
[18] Ayyalasomayajula, Madan Mohan Tito, et al. "Proactive Scaling Strategies for Cost-Efficient Hyperparameter Optimization in Cloud-Based Machine Learning Models: A Comprehensive Review." ESP Journal of Engineering & Technology Advancements (ESP JETA) 1.2 (2021): 42-56.
[19] Ayyalasomayajula, Madan Mohan Tito, Srikrishna Ayyalasomayajula, and Sailaja Ayyalasomayajula. "Efficient Dental X-Ray Bone Loss Classification: Ensemble Learning With Fine-Tuned VIT-G/14 And Coatnet-7 For Detecting Localized Vs. Generalized Depleted Alveolar Bone." Educational Administration: Theory and Practice 28.02 (2022).
[20] Vishwanath Gojanur , Aparna Bhat, “Wireless Personal Health Monitoring System”, IJETCAS:International Journal of Emerging Technologies in Computational and Applied Sciences,eISSN: 2279-0055,pISSN: 2279-0047, 2014.
[21] Aparna Bhat, “Comparison of Clustering Algorithms and Clustering Protocols in Heterogeneous Wireless Sensor Networks: A Survey,” 2014 INTERNATIONAL JOURNAL OF SCIENTIFIC PROGRESS AND RESEARCH (IJSPR)-ISSN : 2349-4689 Volume 04- NO.1, 2014.
[22] Aparna K Bhat, Rajeshwari Hegde, 2014. “Comprehensive Analysis Of Acoustic Echo Cancellation Algorithms On DSP Processor”, International Journal of Advance Computational Engineering and Networking (IJACEN), volume 2, Issue 9, pp.6-11.
[23] Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2023. "Comparative Study of FPGA and GPU for High-Performance Computing and AI" ESP International Journal of Advancements in Computational Technology (ESP-IJACT) Volume 1, Issue 1: 37-46.
[24] Rao, D. D. (2009, November 25). Multimedia-based intelligent content networking for future internet. In Proceedings of the 2009 Third UKSim European Symposium on Computer Modeling and Simulation (pp. 55-59). IEEE.
[25] Thapliyal, A., Bhagavathi, P. S., Arunan, T., & Rao, D. D. (2009, January 10). Realizing zones using UPnP. In 2009 6th IEEE Consumer Communications and Networking Conference (pp. 1-5). IEEE.
[26] Deshpande, A., Arshey, M. R., Ravuri, D., Rao, D. D., Raja, E., & Rao, D. C. (2023). Optimizing Routing in Nature-Inspired Algorithms to Improve Performance of Mobile Ad-Hoc Network. International Journal of Intelligent Systems And Applications In Engineering, 508–516. IJISAE. ISSN: 2147-6799.
[27] Rao, D. D., & Sharma, S. (2023). Secure and Ethical Innovations: Patenting AI Models for Precision Medicine, Personalized Treatment and Drug Discovery in Healthcare. International Journal of Business, Management and Visuals (IJBMV), 6*(2)*
[28] Radhika Kanubaddhi, "Real-Time Recommendation Engine: A Hybrid Approach Using Oracle RTD, Polynomial Regression, and Naive Bayes," SSRG International Journal of Computer Science and Engineering , vol. 8, no. 3, pp. 11-16, 2021.
[29] Radhika Kanubaddhi, 2022. "Designing an Enterprise-Grade, Cloud-Native Chatbot Solution for the Hospitality Industry Using Azure QnA Maker and Azure LUIS", ESP Journal of Engineering & Technology Advancements, 2(1): 56-62.
Wearable Technology, User Health Monitoring, Design, Usability Assessment, User Experience.