Affiliation:
1. Vocational School, Yaşar University, Turkey
2. Department of Textile Engineering, Dokuz Eylul University, Turkey
3. Department of Computer Engineering, Dokuz Eylul University, Turkey
Abstract
The use of smart textiles is expanding. The wearer’s data are transferred to the Cloud by a mobile device, and shared with authorized parties. The study aims to monitor continuously and share our wearable smart textile’s heartbeat, body temperature, and the surrounding magnetic field data, providing early intervention before negative health events occur, or a high magnetic field is of concern to its wearer. A heartbeat sensor, a temperature sensor, and an ESP32 module with a built-in Hall effect sensor were integrated with a special conductive wire woven fabric. The data measured by the sensors were sent to the cloud server wirelessly by the ESP32. Our custom-made software analyzes the collected data with statistical methods, enabling the generation of predictions and early warnings. The generated reports can be sent to the smart textile user, doctors, and authorized third-party health institutions, and relevant magnetic field authorities. Our study shows that the body temperature reported by the designed smart textile has less than a 2.0% error compared with the actual value. On the other hand, the reported heartbeat has a 11.0% error, as it largely depends on sensor quality and placement location. In addition to these, continuous monitoring of the ambient magnetic field has been achieved with smart textiles. Our smart textile design sends the wearer’s body temperature, heartbeat, and surrounding magnetic field information to a cloud server automatically and wirelessly. Our custom-made software and mobile application use the data to provide early warnings and live reports on users’ mobile devices.