RadarFoot: Fine-grain Ground Surface Context Awareness for Smart Shoes-Reference-Cited by-同舟云学术

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RadarFoot: Fine-grain Ground Surface Context Awareness for Smart Shoes

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
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Author:

Elvitigala Don Samitha¹^ORCID,Wang Yunfan²^ORCID,Hu Yongquan³^ORCID,Quigley Aaron J⁴^ORCID

Affiliation:

1. Department of Human Centred Computing, Monash University, Australia

2. School of Computer Science & Engineering, University of New South Wales, Austria

3. School of Computer Science & Engineering, University of New South Wales, Australia

4. Science Director and Deputy Director, CSIRO's Data61, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3586183.3606738

Reference61 articles.

1. Material Identification Using RF Sensors and Convolutional Neural Networks

2. Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition

3. Rafael Alencar . 2017 . Resampling strategies for imbalanced datasets . Retrieved December 08, 2022 from https://www.kaggle.com/code/rafjaa/resampling-strategies-for-imbalanced-datasets/notebook. Rafael Alencar. 2017. Resampling strategies for imbalanced datasets. Retrieved December 08, 2022 from https://www.kaggle.com/code/rafjaa/resampling-strategies-for-imbalanced-datasets/notebook.

4. Foot worn inertial sensors for gait assessment and rehabilitation based on motorized shoes

5. The fundamentals of electromagnetic theory revisited

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