ACM Transactions on Intelligent Systems and Technology· 2017Q1
TensorBeat
- 199citations
- Q1SCImago
- 2017year
Short summary
TensorBeat uses WiFi channel state information (CSI) phase differences and tensor decomposition to estimate breathing rates for multiple individuals without physical contact.
AI-generated from the title and abstract; the full text is not read.
Key points
- TensorBeat estimates breathing rates using CSI phase difference data from commodity WiFi devices.
- The system employs tensor decomposition (specifically CP decomposition) to extract breathing signals.
- A stable signal matching algorithm identifies decomposed signal pairs for multiperson monitoring.
- Peak detection is used to calculate individual breathing rates.
- Experimental results show high accuracy in diverse environments.
AI-generated from the title and abstract; the full text is not read.
Abstract
Breathing signal monitoring can provide important clues for health problems. Compared to existing techniques that require wearable devices and special equipment, a more desirable approach is to provide contact-free and long-term breathing rate monitoring by exploiting wireless signals. In this article, we propose TensorBeat, a system to employ channel state information (CSI) phase difference data to intelligently estimate breathing rates for multiple persons with commodity WiFi devices. The main idea is to leverage the tensor decomposition technique to handle the CSI phase difference data. The proposed TensorBeat scheme first obtains CSI phase difference data between pairs of antennas at the WiFi receiver to create CSI tensors. Then canonical polyadic (CP) decomposition is applied to obtain the desired breathing signals. A stable signal matching algorithm is developed to identify the decomposed signal pairs, and a peak detection method is applied to estimate the breathing rates for multiple persons. Our experimental study shows that TensorBeat can achieve high accuracy under different environments for multiperson breathing rate monitoring.
The authors' abstract, as published at the source. ACM Transactions on Intelligent Systems and Technology, 2017 · DOI ↗
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Field: Computational Mathematics
Computational MathematicsMathematics