Full citation
Yin, X., Gao, J., Guerra, R. R., Morton, C., McLaren, D., Vyas, P., Cang, X. L., Ishizaki, R., Madden, J., & MacLean, K. E. "ShearSense: A soft flexible sensing array for capturing shear and normal stress in affective touch." Proc. Eurohaptics - Hands-On Demonstration
Abstract
Soft polymer tactile sensing arrays offer a customizable approach to capturing expressive gestural touch
parameters over surfaces of differing shape and stiffness, e.g., in affective human-robot interaction. We
present a flexible multi-taxel capacitive array that simultaneously measures 3-axis stress (normal and
shear), a machine-learning modeling pipeline that characterizes a wide range of affective gestures, and
data on feature importance. The current prototype features fast wireless communication and a 10 mm
bending radius. We will demonstrate three variants tailored for manufacturing, healthcare, and robotics
applications, and display the complexities and power of sensing shear in an array format.
parameters over surfaces of differing shape and stiffness, e.g., in affective human-robot interaction. We
present a flexible multi-taxel capacitive array that simultaneously measures 3-axis stress (normal and
shear), a machine-learning modeling pipeline that characterizes a wide range of affective gestures, and
data on feature importance. The current prototype features fast wireless communication and a 10 mm
bending radius. We will demonstrate three variants tailored for manufacturing, healthcare, and robotics
applications, and display the complexities and power of sensing shear in an array format.
SPIN Authors
Year Published
2024