Baojie Yuan
ABSTRACT
Surface identification provides contextual services during humancomputer interaction, which is important for target detection and scene understanding. A robust and ubiquitous surface recognition system has a wide range of applications such as context awareness and robot operation. Existing methods have shortcomings of requiring specialized devices and limited usage scenarios. In this paper, we introduce Surtify, a surface identification system based on acoustic dispersion with a smartphone. By combining the intrinsic physical phenomenon (i.e., acoustic dispersion) with a deep learning model, Surtify can identify eleven kinds of surfaces with accuracies up to 96%, even in cross-person and cross-location scenarios.
- Semin Ryu and Seung-Chan Kim. 2020. Embedded Identification of Surface based on Multirate Sensor Fusion with Deep Neural Network. IEEE Embedded Systems Letters (2020).Google Scholar
- Semin Ryu and Seung-Chan Kim. 2020. Impact Sound-based Surface Identification using Smart Audio Sensors with Deep Neural Networks. IEEE Sensors Journal (2020).Google ScholarCross Ref
Index Terms
Tap it and you know what it is: a surface identification system based on acoustic dispersion: poster abstract
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