A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles
<p>Nowadays, most countries in the world suffer several traffic issues which generate public health problems such as deaths and injuries of drivers and pedestrians. In order to reduce these fatalities, a system for automatic detection of both distraction and drowsiness is presented in this res...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad San Francisco de Quito USFQ
2014-12-01
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| Series: | ACI Avances en Ciencias e Ingenierías |
| Subjects: | |
| Online Access: | http://revistas.usfq.edu.ec/index.php/avances/article/view/182 |
| _version_ | 1797285169714954240 |
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| author | Marco Flores Calero Fernando A. Guevara Oswaldo S. Valencia |
| author_facet | Marco Flores Calero Fernando A. Guevara Oswaldo S. Valencia |
| author_sort | Marco Flores Calero |
| collection | DOAJ |
| description | <p>Nowadays, most countries in the world suffer several traffic issues which generate public health problems such as deaths and injuries of drivers and pedestrians. In order to reduce these fatalities, a system for automatic detection of both distraction and drowsiness is presented in this research. Artificial intelligence, computer vision and time of flight (TOF) technologies are used to compute both distraction and drowsiness indexes, in real time. Several experiments have been developed in real conditions during the day, inside a real vehicle and in laboratory conditions, to prove the efficiency of the system.</p> |
| first_indexed | 2024-03-07T17:59:24Z |
| format | Article |
| id | doaj.art-1a7d711715dd432fbd48266d9754090f |
| institution | Directory Open Access Journal |
| issn | 1390-5384 2528-7788 |
| language | English |
| last_indexed | 2024-03-07T17:59:24Z |
| publishDate | 2014-12-01 |
| publisher | Universidad San Francisco de Quito USFQ |
| record_format | Article |
| series | ACI Avances en Ciencias e Ingenierías |
| spelling | doaj.art-1a7d711715dd432fbd48266d9754090f2024-03-02T11:12:34ZengUniversidad San Francisco de Quito USFQACI Avances en Ciencias e Ingenierías1390-53842528-77882014-12-016210.18272/aci.v6i2.182182A new system to detect distraction and drowsiness using time of flight technology forintelligent vehiclesMarco Flores Calero0Fernando A. Guevara1Oswaldo S. Valencia2Universidad de las Fuerzas ArmadasUniversidad de las Fuerzas ArmadasUniversidad de las Fuerzas Armadas<p>Nowadays, most countries in the world suffer several traffic issues which generate public health problems such as deaths and injuries of drivers and pedestrians. In order to reduce these fatalities, a system for automatic detection of both distraction and drowsiness is presented in this research. Artificial intelligence, computer vision and time of flight (TOF) technologies are used to compute both distraction and drowsiness indexes, in real time. Several experiments have been developed in real conditions during the day, inside a real vehicle and in laboratory conditions, to prove the efficiency of the system.</p>http://revistas.usfq.edu.ec/index.php/avances/article/view/182Distracciónadormecimientoaccidentes de tráficotecnología TOFvehículos inteligentes |
| spellingShingle | Marco Flores Calero Fernando A. Guevara Oswaldo S. Valencia A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles ACI Avances en Ciencias e Ingenierías Distracción adormecimiento accidentes de tráfico tecnología TOF vehículos inteligentes |
| title | A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| title_full | A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| title_fullStr | A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| title_full_unstemmed | A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| title_short | A new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| title_sort | new system to detect distraction and drowsiness using time of flight technology forintelligent vehicles |
| topic | Distracción adormecimiento accidentes de tráfico tecnología TOF vehículos inteligentes |
| url | http://revistas.usfq.edu.ec/index.php/avances/article/view/182 |
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