Artificial Intelligence in Medicine
A sensing seat for human authentication
IEEE Transactions on Information Forensics and Security
Infrastructure and reliability analysis of electric networks for e-textiles
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Enhancing battery efficiency for pervasive health-monitoring systems based on electronic textiles
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Smart wearable systems: Current status and future challenges
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
In this paper, we report on a new technology used to implement strain sensors to be integrated in usual garments. A particular conductive mixture based on commercial products is realized and directly spread over a piece of fabric, which shows, after the treatment, piezoresistive properties, i.e., a change in resistance when it is strained. This property is exploited to realize sensorized garments such as gloves, leotards, and seat covers capable of reconstructing and monitoring body shape, posture, and gesture. In general, this technology is a good candidate for adherent wearable systems with excellent mechanical coupling with body surface. Here, we mainly focused on a sensorized glove able to detect posture and movements of the fingers. It could be used in several fields of application. We report on experimental results of a sensorized glove used as movements recorder for rehabilitation therapies and medicine. Furthermore, we describe a dedicated methodology used to read the output sensors which allowed to avoid using metallic wires for the connections. The price to be paid for all these advantages is a nonlinear electric response of the fabric sensor and a too long settling time, that in principle, make these sensors not suitable for real-time applications. Here we propose a hardware and computational solution to overcome this limitation.