Journal ArticleDOI
V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing.
TLDR
In this paper, an intelligent system performing monitoring tasks using a COTS impulse radio mounted on the windshield is proposed. But the system is not suitable for the use of cameras and cannot detect the presence of passengers.Abstract:
Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern. Such issues may vary from fatigue, asthma, stroke, to even heart attack, yet they can be adequately indicated by vital signs and abnormal activities. Therefore, in-vehicle vital sign monitoring can help us predict and hence prevent these issues. Whereas existing sensor-based (including camera) methods could be used to detect these indicators, privacy concern and system complexity both call for a convenient yet effective and robust alternative. This paper aims to develop V2iFi, an intelligent system performing monitoring tasks using a COTS impulse radio mounted on the windshield. V2iFi is capable of reliably detecting driver's vital signs under driving condition and with the presence of passengers, thus allowing for potentially inferring corresponding health issues. Compared with prior work based on Wi-Fi CSI, V2iFi is able to distinguish reflected signals from multiple users, and hence provide finer-grained measurements under more realistic settings. We evaluate V2iFi both in lab environments and during real-life road tests; the results demonstrate that respiratory rate, heart rate, and heart rate variability can all be estimated accurately. Based on these estimation results, we further discuss how machine learning models can be applied on top of V2iFi so as to improve both physiological and psychological wellbeing in driving environments.read more
Citations
More filters
Proceedings ArticleDOI
RF-URL: unsupervised representation learning for RF sensing
TL;DR: A novel unsupervised representation learning (URL) framework for RF sensing, RF-URL, to learn a pre-training model on large-scale unannotated RF datasets that can be easily collected, and is universal to a variety of RF sensing tasks.
Journal ArticleDOI
Spatial-Temporal-Circulated GLCM and Physiological Features for In-Vehicle People Sensing Based on IR-UWB Radar
TL;DR: Yang et al. as discussed by the authors proposed novel spatial-temporal-circulated gray level co-occurrence matrix (STC-GLCM) and physiological features for people sensing, to detect the presence, number, and motions of people in the vehicle.
Proceedings ArticleDOI
Mobi2Sense: empowering wireless sensing with mobility
TL;DR: This paper proposes Mobi2Sense, a system design to support sensing under device motions, and proposes novel signal processing schemes to remove the effect of device motions on sensing and prototype Mobi1Sense using commodity UWB hardware.
Proceedings ArticleDOI
Capricorn: Towards Real-Time Rich Scene Analysis Using RF-Vision Sensor Fusion
Ziqi Wang,Ankur Sarker,Jason Weixiang. Wu,Derek Hua,Gaofeng Dong,Akash Deep Singh,Mani Srivastava +6 more
TL;DR: In this article , the authors proposed a real-time RF-vision sensor fusion system, Capricorn, that efficiently builds a cross-modal correspondence between visual pixels and RF time series to better understand the complex natures of a scene.
Proceedings ArticleDOI
RFTacho: Non-intrusive RF monitoring of rotating machines
TL;DR: Initial experiments show that RFTacho can measure speeds as high as 7000 rpm (theoretically 60000 rpm) with high resiliency at different coverage distances and orientation angles, requiring only 150 mW transmit power while operating in the 5 GHz license-exempt band.
References
More filters
Book
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI
Variational Mode Decomposition
TL;DR: This work proposes an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently and is a generalization of the classic Wiener filter into multiple, adaptive bands.
Journal ArticleDOI
An Overview of Heart Rate Variability Metrics and Norms.
Fred Shaffer,Jay P. Ginsberg +1 more
TL;DR: Current perspectives on the mechanisms that generate 24 h, short-term (<5 min), and ultra-short-term HRV are reviewed, and the importance of HRV, and its implications for health and performance are reviewed.
Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
TL;DR: The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.
Journal ArticleDOI
A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.
TL;DR: The authors conclude that a coherent heart is not a metronome because its rhythms are characterized by both complexity and stability over longer time scales.