Wearable Technology for Smart Manufacturing in Industry 5.0 Applications, Challenges, and Case Studies  
Author Tho Nguyen


Co-Author(s) Kim Duc Tran; Ali Raza; Quoc-Thông Nguyen; Huong Mai Bui; Kim Phuc Tran


Abstract In recent decades, wearable devices have constantly improved in response to market trends and the requirements in Industry 4.0/5.0 and are now on a steady increase. Although initial wearable sensor versions have shown their potential in supporting humans in work and lives, the limitation is that a device only works well in an individual. Therefore, by integrating the Internet of Things (IoT), and Artificial Intelligence (AI) algorithms in wearable sensors, a new generation of wearable IoT devices is introduced to address the limitations of traditional wearable sensors, increase accuracy, as well as operate in a network system. In operation, wearable IoT (WIoT) devices connect all wearable sensors, process, and analyze data on the central server, and then send it back to the devices, which optimizes energy consumption, memory, and storage, thus WIoT devices are widely used in various fields. In healthcare, WIoT devices proved useful features in real-time biofeedback, leading to early diagnosis and efficient treatment. For example, WIoT devices monitor proper body mechanics during work to prevent and reduce low back pain (LBP), in safe driving, dangerous driving behavior detection with high accuracy, in sports, tracking athletes’ internal and external workloads, and in mental situations.


    Article #:  DSBFI23-23
Proceedings of 2nd ISSAT International Conference on Data Science in Business, Finance and Industry
January 8-10, 2023 - Da Nang, Vietnam