Huber Kalman Filter for Wi-Fi Based Vehicle Driver's Respiration Detection-Reference-Cited by-同舟云学术

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Huber Kalman Filter for Wi-Fi Based Vehicle Driver's Respiration Detection

Published:2022-08 Issue:8 Volume:71 Page:8933-8943
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Yang Yang¹^ORCID,Luo Yunlong¹^ORCID,Qi Alex²,Shi Ge²,Miao Miao³,Fan Jun⁴^ORCID,Ma Jianhua⁵,Qi Yihong²^ORCID

Affiliation:

1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

2. Pontosense Inc, Kitchener, Canada

3. Gingko College of Hospitality Management, Chengdu, China

4. Missouri University of Science and Technology, Rolla, USA

5. Hosei University, Chiyoda City, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9857756/09782099.pdf?arnumber=9782099

Reference32 articles.

1. WISe: Wireless Intelligent Sensing for Human-Centric Applications

2. Understanding the Kalman filter;meinhold;J Amer Stat Assoc,1983

3. An Extended Kalman Filter for Fetal Heart Location Estimation During Doppler-Based Heart Rate Monitoring

4. Smart Homes that Monitor Breathing and Heart Rate

5. Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing

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1. Iterated Maximum Mixture Correntropy Kalman Filter and Its Applications in Tracking and Navigation;IEEE Sensors Journal;2024-09-01

2. Enhancing Road Safety: Fast and Accurate Noncontact Driver HRV Detection Based on Huber–Kalman and Autocorrelation Algorithms;Biomimetics;2024-08-09

3. A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on a Gaussian–Student’s t-Mixture Model;Remote Sensing;2024-01-28

4. Improved maximum correntropy cubature Kalman and information filters with application to target tracking under non‐Gaussian noise;International Journal of Adaptive Control and Signal Processing;2024-01-17

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