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Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network
The diversion of a driver’s attention from driving can be catastrophic. Given that conventional button- and touch-based interfaces may distract the driver, developing novel distraction-free interfaces for the various devices present in cars has becomes necessary. Hand gesture recognition may provide...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470780/ https://www.ncbi.nlm.nih.gov/pubmed/30909552 http://dx.doi.org/10.3390/s19061429 |
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author | Ahmed, Shahzad Khan, Faheem Ghaffar, Asim Hussain, Farhan Cho, Sung Ho |
author_facet | Ahmed, Shahzad Khan, Faheem Ghaffar, Asim Hussain, Farhan Cho, Sung Ho |
author_sort | Ahmed, Shahzad |
collection | PubMed |
description | The diversion of a driver’s attention from driving can be catastrophic. Given that conventional button- and touch-based interfaces may distract the driver, developing novel distraction-free interfaces for the various devices present in cars has becomes necessary. Hand gesture recognition may provide an alternative interface inside cars. Given that cars are the targeted application area, we determined the optimal location for the radar sensor, so that the signal reflected from the driver’s hand during gesturing is unaffected by interference from the motion of the driver’s body or other motions within the car. We implemented a Convolutional Neural Network-based technique to recognize the finger-counting-based hand gestures using an Impulse Radio (IR) radar sensor. The accuracy of the proposed method was sufficiently high for real-world applications. |
format | Online Article Text |
id | pubmed-6470780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64707802019-04-26 Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network Ahmed, Shahzad Khan, Faheem Ghaffar, Asim Hussain, Farhan Cho, Sung Ho Sensors (Basel) Article The diversion of a driver’s attention from driving can be catastrophic. Given that conventional button- and touch-based interfaces may distract the driver, developing novel distraction-free interfaces for the various devices present in cars has becomes necessary. Hand gesture recognition may provide an alternative interface inside cars. Given that cars are the targeted application area, we determined the optimal location for the radar sensor, so that the signal reflected from the driver’s hand during gesturing is unaffected by interference from the motion of the driver’s body or other motions within the car. We implemented a Convolutional Neural Network-based technique to recognize the finger-counting-based hand gestures using an Impulse Radio (IR) radar sensor. The accuracy of the proposed method was sufficiently high for real-world applications. MDPI 2019-03-23 /pmc/articles/PMC6470780/ /pubmed/30909552 http://dx.doi.org/10.3390/s19061429 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ahmed, Shahzad Khan, Faheem Ghaffar, Asim Hussain, Farhan Cho, Sung Ho Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title | Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title_full | Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title_fullStr | Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title_full_unstemmed | Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title_short | Finger-Counting-Based Gesture Recognition within Cars Using Impulse Radar with Convolutional Neural Network |
title_sort | finger-counting-based gesture recognition within cars using impulse radar with convolutional neural network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470780/ https://www.ncbi.nlm.nih.gov/pubmed/30909552 http://dx.doi.org/10.3390/s19061429 |
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