TY - GEN
T1 - An Electronic Equipment for Monitoring, Detection and Warning of Pitch Motion of Vehicle Drivers
AU - Alzamora, Luis
AU - Espino, Josue
AU - Acosta, Rubén
AU - Márquez, Manuel
AU - Kemper, Guillermo
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Long and monotonous journeys during the transport of goods can generate tiredness and/or fatigue in the driver, generating a potential vehicle accident where the driver can enter a state of micro-sleep, losing control of the vehicle for a period of time. Within the state of the art, it is observed that most of the solutions have as their fundamental axis the analysis of the ocular muscle, being these vulnerable to the variation of light intensity and facial accessories that the driver can use. On the other hand, other studies analyze EEG signals being intrusive and disturbing the driving skills of the driver. This work presents a driver fatigue monitoring system based on the angular movement of the head, the main characteristic prior to the state of micro-sleep, located in a safety helmet. To do this, an analysis of the angular movement of the driver’s head is carried out, thus avoiding the use of cameras, potential lighting problems and intrusive driving disturbances. The device will detect the nodding symptom and will issue an auditory alert with a message via Telegram to a third party to alert the presence of driver fatigue with an error rate of less than 22%, having as auditory alert response time a period of 500 ms equivalent to the distance of 8 m if the vehicle moves at 60 km/h. The validation was carried out by comparing the angles between the device located in the helmet and a reference accelerometer.
AB - Long and monotonous journeys during the transport of goods can generate tiredness and/or fatigue in the driver, generating a potential vehicle accident where the driver can enter a state of micro-sleep, losing control of the vehicle for a period of time. Within the state of the art, it is observed that most of the solutions have as their fundamental axis the analysis of the ocular muscle, being these vulnerable to the variation of light intensity and facial accessories that the driver can use. On the other hand, other studies analyze EEG signals being intrusive and disturbing the driving skills of the driver. This work presents a driver fatigue monitoring system based on the angular movement of the head, the main characteristic prior to the state of micro-sleep, located in a safety helmet. To do this, an analysis of the angular movement of the driver’s head is carried out, thus avoiding the use of cameras, potential lighting problems and intrusive driving disturbances. The device will detect the nodding symptom and will issue an auditory alert with a message via Telegram to a third party to alert the presence of driver fatigue with an error rate of less than 22%, having as auditory alert response time a period of 500 ms equivalent to the distance of 8 m if the vehicle moves at 60 km/h. The validation was carried out by comparing the angles between the device located in the helmet and a reference accelerometer.
KW - Driver
KW - Fatigue
KW - Helmet
KW - Movement
KW - Pitch
KW - Trajectory
KW - Vehicle
UR - https://www.scopus.com/pages/publications/85148230412
U2 - 10.1007/978-3-031-24971-6_19
DO - 10.1007/978-3-031-24971-6_19
M3 - Contribución a la conferencia
AN - SCOPUS:85148230412
SN - 9783031249709
T3 - Communications in Computer and Information Science
SP - 261
EP - 273
BT - Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers
A2 - Botto-Tobar, Miguel
A2 - Zambrano Vizuete, Marcelo
A2 - Montes León, Sergio
A2 - Torres-Carrión, Pablo
A2 - Durakovic, Benjamin
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Applied Technologies, ICAT 2022
Y2 - 23 November 2022 through 25 November 2022
ER -