Living with I-Fabric: Smart Living Powered by Intelligent Fabric and Deep Analytics

التفاصيل البيبلوغرافية
العنوان: Living with I-Fabric: Smart Living Powered by Intelligent Fabric and Deep Analytics
المؤلفون: Jun Zhou, Min Chen, Nadra Guizani, Kai Hwang, Yingying Jiang, Guangming Tao, Jun Yin
المصدر: IEEE Network. 34:156-163
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2020.
سنة النشر: 2020
مصطلحات موضوعية: Scope (project management), Computer Networks and Communications, business.industry, media_common.quotation_subject, Wearable computer, 020206 networking & telecommunications, Cloud computing, 02 engineering and technology, Field (computer science), Intelligent sensor, Hardware and Architecture, Analytics, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, business, Function (engineering), Software, Wearable technology, Information Systems, media_common
الوصف: With the emergence of next-generation fiber materials and the development of sensors and wearable technologies, new breakthroughs also emerge in the field of wearable fabrics. By combining wearable fabrics with sensors, artificial intelligence and other technologies, the new intelligent fabrics create an intelligent, flexible and adaptive performance, thus meeting people's needs better and becoming more acceptable to users than traditional fabrics. Nevertheless, present intelligent fabrics have some shortcomings, such as insufficient interactive ability, the narrow scope of applications, and poor ability in synchronizing physical and psychological health data. Therefore, in this article, we propose the Living with I-Fabric system, which represents smart living powered by intelligent fabric and deep analytics. The proposed system is capable of solving problems that are beyond the scope of existing fabrics and further improve the user's experience. Combining multiple smart accessories and cognitive devices, together with smartphones and multi-level clouds, the proposed system builds a comprehensive and sustainable health monitoring and guidance ecosystem. Through AI algorithms on the edge and remote clouds, the user's historical data is analyzed in depth, and additional valued function services can be provided for users.
تدمد: 1558-156X
0890-8044
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::d85c44ced6abbab045dba4629470f965Test
https://doi.org/10.1109/mnet.011.1900570Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........d85c44ced6abbab045dba4629470f965
قاعدة البيانات: OpenAIRE