A Fabric-Based Wearable Band for Hand Gesture Recognition based on Filament Strain Sensors: A Preliminary Investigation

Andrea Ferrone, Xianta Jiang1, Luca Maiolo, Alessandro Pecora, Lorenzo Colace2, Carlo Menon

  • 1Simon Fraser University
  • 2Università degli Studi Roma Tre

Details

14:30 - 14:45 | Thu 10 Nov | Mexico-Cozumel | ThAT4.3

Session: Student Paper Competition

Abstract

A wearable system based on a breathable cloth wristband equipped with stretchable strain gauge sensors were assembled and tested to detect a set of 16 different hand gestures. The sensors embedded on the wristband prototype do not require a direct contact with the skin, thus maximizing comfort. To evaluate the performance of the developed band, different gestures were labelled by using grasping information detected in real-time by commercial Force-Sensing Resistor (FSR) sensors. Signals recorded by the wristband were processed through two machine-learning algorithms, i.e. Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM), reaching accuracies of 87% and 95% respectively.