PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring-Reference-Cited by-同舟云学术

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PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring

Published:2023-01 Issue: Volume:451 Page:138961
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Luo Fangyuan,Chen Bin,Ran Xu,Ouyang Wei,Shang Liang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference72 articles.

1. Traffic safety in china: challenges and countermeasures;Huang;Accid. Anal. Prev.,2016

2. Driver drowsiness detection based on respiratory signal analysis;Guede-Fernandez;IEEE Access,2019

3. Real-time driver drowsiness detection for android application using deep neural networks techniques;Jabbar;Hum.-Comput. Interact.,2018

4. Applying neural network analysis on heart rate variability data to assess driver fatigue;Patel;Expert Syst. Appl.,2011

5. Novel sweep-type triboelectric nanogenerator utilizing single freewheel for random triggering motion energy harvesting and driver habits monitoring;Xie;Nano Energy,2020

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2. High performance flexible green triboelectric nanogenerator with polyethylene oxide/mica tribo-positive composite material;Applied Materials Today;2024-08

3. Polymeric multilayered planar spring-based hybrid nanogenerator integrated with a self-powered vibration sensor for automotive vehicles IoT applications;Nano Energy;2024-08

4. AI‐Assisted Self‐Powered Vehicle‐Road Integrated Electronics for Intelligent Transportation Collaborative Perception;Advanced Materials;2024-07-25

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