Drift Compensation of Wearable Textile Sensors in Mobile Applications

This paper presents a novel approach to address the challenges associated with the long-term use of conductive textiles as sensors, a critical area of research for the sustainable use of smart textiles. The key advancement over the existing state-of-the-art is the development of simple techniques for compensating for the effects of aging and degradation effects in mobile scenarios on resource-limited embedded systems. Through accelerated aging tests and cyclic stress tests, we demonstrate how integrated measurement circuits can be used to detect and compensate for aging effects. We also provide a software-based solution to complement mechanical protective measures. We were able to show that after the initial calibration and model determination, no further communication with a server structure is required for the adaptation of sensor models or their drift compensation.