IceSound: Acoustic-based Ice Thickness Sensing with Smartphones

Accurate measurement of ice thickness is essential for safety in ice-related human activities; however, existing solutions are often cumbersome or expensive. We present IceSound, a novel system that leverages the ubiquity of smartphones to realize portable, cost-effective, and real-time ice thickness sensing. IceSound tackles multiple challenges including overlapping echoes due to the higher sound speed in ice (approximately 3250 m/s), weak bottom reflections due to attenuation in thick ice, and variations of temperature and device orientation during measurements. Extensive field experiments show that IceSound achieves a mean absolute error of 0.3 cm for ice thickness measurement when the ice thickness is in the critical range of 10-15 cm. When assessing whether the ice thickness is safe for human activities based on the well-recognized 15 cm threshold, the system exhibits a remarkably low error rate of 0.13%, demonstrating its effectiveness in enhancing safety for ice-related human activities.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2025-09-03
DOI
https://doi.org/10.1145/3749543
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

IceSound: Acoustic-based Ice Thickness Sensing with Smartphones

Guowei Wu, Yingqi Chen, Jie Xiong, Yang Chi et al.
5 links
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Icing and De-icing Technologies
article

IceSound: Acoustic-based Ice Thickness Sensing with Smartphones

Guowei Wu, Yingqi Chen, Jie Xiong, Yang Chi, Chi Lin, Xin Fan, Qingxi Tong
article en

Abstract

Accurate measurement of ice thickness is essential for safety in ice-related human activities; however, existing solutions are often cumbersome or expensive. We present IceSound, a novel system that leverages the ubiquity of smartphones to realize portable, cost-effective, and real-time ice thickness sensing. IceSound tackles multiple challenges including overlapping echoes due to the higher sound speed in ice (approximately 3250 m/s), weak bottom reflections due to attenuation in thick ice, and variations of temperature and device orientation during measurements. Extensive field experiments show that IceSound achieves a mean absolute error of 0.3 cm for ice thickness measurement when the ice thickness is in the critical range of 10-15 cm. When assessing whether the ice thickness is safe for human activities based on the well-recognized 15 cm threshold, the system exhibits a remarkably low error rate of 0.13%, demonstrating its effectiveness in enhancing safety for ice-related human activities.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 9(3)
Nanyang Technological University (SG), Dalian University of Technology (CN), Lenovo (China) (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 68%
Icing and De-icing Technologies
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