Summary of Step Length Measurement in the Wild Using Fmcw Radar, by Parthipan Siva et al.
Step length measurement in the wild using FMCW radar
by Parthipan Siva, Alexander Wong, Patricia Hewston, George Ioannidis, Jonathan Adachi, Alexander Rabinovich, Andrea Lee, Alexandra Papaioannou
First submitted to arxiv on: 3 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed radar-based step length measurement system for the home uses detection and tracking using radar point cloud, followed by Doppler speed profiling of the torso to obtain step lengths in real-world settings. This method was evaluated in a clinical environment with 35 frail older adults, demonstrating a 4.5cm/8.3% error compared to the gold standard Zeno Walkway Gait Analysis System. Additionally, it showed excellent reliability and accuracy in uncontrolled home settings. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper proposes a new way to measure how far people walk using radar sensors at home. This can help predict if older adults are at risk of falling or getting hurt. The method was tested with 35 older adults who were already frail, and it showed that the results were very close to those obtained in a clinical setting. When tested again in the same adults’ homes, the system proved reliable and accurate. |
Keywords
» Artificial intelligence » Tracking
