A novel fully wearable system based on a smart wristband equipped with stretchable strain gauge sensors and readout electronics have been assembled and tested to detect a set of movements of a hand crucial in rehabilitation procedures. The high sensitivity of the active devices embedded on the wristband do not need a direct contact with the skin, thus maximizing the comfort on the arm of the tester. The gestures done with the device have been auto-labeled by comparing the signals detected in real-Time by the sensors with a commercial infrared device (Leap motion). Finally, the system has been evaluated with two machine-learning algorithms Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM), reaching a reproducibility of 98% and 94%, respectively.

Ferrone, A., Maita, F., Maiolo, L., Arquilla, M., Castiello, A., Pecora, A., et al. (2016). Wearable band for hand gesture recognition based on strain sensors. In Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (pp.1319-1322). IEEE Computer Society [10.1109/BIOROB.2016.7523814].

Wearable band for hand gesture recognition based on strain sensors

FERRONE, ANDREA;COLACE, Lorenzo
2016-01-01

Abstract

A novel fully wearable system based on a smart wristband equipped with stretchable strain gauge sensors and readout electronics have been assembled and tested to detect a set of movements of a hand crucial in rehabilitation procedures. The high sensitivity of the active devices embedded on the wristband do not need a direct contact with the skin, thus maximizing the comfort on the arm of the tester. The gestures done with the device have been auto-labeled by comparing the signals detected in real-Time by the sensors with a commercial infrared device (Leap motion). Finally, the system has been evaluated with two machine-learning algorithms Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM), reaching a reproducibility of 98% and 94%, respectively.
9781509032877
Ferrone, A., Maita, F., Maiolo, L., Arquilla, M., Castiello, A., Pecora, A., et al. (2016). Wearable band for hand gesture recognition based on strain sensors. In Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (pp.1319-1322). IEEE Computer Society [10.1109/BIOROB.2016.7523814].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/316855
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