Journal
ADVANCED ROBOTICS
Volume 32, Issue 21, Pages 1112-1121Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01691864.2018.1490666
Keywords
Stretchable sensors; soft materials; artificial skin; gesture recognition
Categories
Funding
- National Natural Science Foundation of China [51622506]
- Science and Technology Commission of Shanghai Municipality [16JC1401000]
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Stretchable sensors are promising in the field of wearable robotics. To date, it is still a challenge to design an artificial skin with thin and sensitive stretchable sensors. In this paper, we present a new artificial skin, SkinGest, integrating filmy stretchable strain sensors and machine learning algorithms for gesture recognition of human hands. The presented sensor has a sandwich structure consisting of two elastomer layers on the outside and one soft electrode layer in the middle. Based on the improved fabrication process, we make the sensor's thickness down to 150 mu m, while keeping the gauge factor (GF) up to 8. Then, we integrate the machine learning algorithms (using LDA, KNN and SVM classifiers) with the stretchable sensors in our SkinGest system for gesture recognition. Supported by the experimental data from different subjects, our SkinGest system succeeds in identifying American sign language 0-9 with an average accuracy of 98%. The results demonstrate that the proposed SkinGest system provides a promising platform for future potential virtual reality and sign language recognition applications.
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