Fabric Pressure Sensors for Fine-Grained Interaction Detection in Plush Toys

Author:

Kiaghadi Ali1,Huang Jin1,Zohreh Homayounfar Seyedeh1,Andrew Trisha1,Ganesan Deepak1

Affiliation:

1. University of Massachusetts, Amherst, MA, USA

Abstract

Recent advances in fabric-based sensors have made it possible to densely instrument plush toys without altering their aesthetic or tactile appeal, unlike traditional sensors whose rigid components can negatively impact the interactive experience. This innovation opens a new realm of interaction possibilities, allowing for the detection of nuanced gestures and movements that are crucial for understanding behavior, enhancing engagement, and potentially monitoring cognitive functions in therapeutic contexts.

Publisher

Association for Computing Machinery (ACM)

Reference13 articles.

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3. A. Kiaghadi, S.Z. Homayounfar, J. Gummeson, T. Andrew, and D. Ganesan. Sept. 2019. Phyjama: Physiological sensing via fiber-enhanced pyjamas. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3(3).

4. Deep learning

5. S. Ioffe and C. Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning, PMLR, 448--456.

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