@inproceedings{308b80e53d4949b593e7f62ffbfad0e8,
title = "Printable skin adhesive stretch sensor for measuring multi-axis human joint angles",
abstract = "This paper presents a printable skin adhesive stretch sensor to estimate rotation angles of multi-axis joint for biomedical engineering applications, such as gait analysis, gesture recognition, and motion monitoring. Silicone rubber mixed with multiwall carbon nanotube composites were fabricated to make a highly stretchable (up to 120\%) strain sensors. Embedding liquid state composites to the fabric leaded to enhance the adhesive force between the composites and fabric. The skin adhesive sensor system could be used to estimate rotation angles of the multi-axis joints while providing comfortable physical interfaces. To reduce misalignment to the axis of rotation, a calibration method was formulated based on geometrical relationship between the sensor axes and the joint angle. In order to validate the estimation performance of the sensor in multi-axis joint, shoulder flexion/extension and abduction/adduction angles were estimated. The results showed the system could estimate the rotation angles of the shoulder enough to identify motion intentions of the user. In the future, the proposed system can be applied to the motion monitoring system by direct attachment to skin without discomfort to the user in daily life.",
keywords = "Smart textiles, Strain sensor, Printable electronics",
author = "Hyosang Lee and Jiseung Cho and Jung Kim",
year = "2016",
month = jun,
day = "9",
doi = "10.1109/ICRA.2016.7487705",
language = "English",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "4975--4980",
booktitle = "2016 IEEE International Conference on Robotics and Automation, ICRA 2016",
address = "United States",
note = "2016 IEEE International Conference on Robotics and Automation, ICRA 2016 ; Conference date: 16-05-2016 Through 21-05-2016",
}