We investigated the effect of driver posture on driving control following a takeover request (TOR) from autonomous to manual driving in level 3 autonomous vehicles. When providing a TOR, driving behaviors need to be investigated to develop driver monitoring systems, and it is important to clarify the effect of driver postures. Experiments were conducted using driver postures that are likely to be adopted in autonomous driving. Driver postures were set based on combinations of two types of upper-body posture and three types of foot posture. The driver's upper body and head were set to either a forward or sideways orientation. For each of these there were three types of foot posture: both feet on the floor, crossed legs, and cross-legged sitting. Following a TOR, we compared the braking and steering maneuvers of subjects driving normally and examined the effects of posture on driver reaction time. The results show that both the upper-body and foot postures of the driver affect the steering and braking reaction time. The driver monitoring system should be able to detect posture and activate a TOR warning, and detection times up to 2 and 1.3 times faster than those for normal postures should be considered for different upper-body and foot postures, respectively.
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http://dx.doi.org/10.3390/bs12110417 | DOI Listing |
Healthcare (Basel)
December 2024
Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
: Job profiles such as heavy vehicle drivers and transportation office workers that involve prolonged static and inappropriate postures and forceful exertions often impact an individual's health, leading to various disorders, most commonly musculoskeletal disorders (MSDs). In the present study, various individual risk factors, such as age, weight, height, BMI, sleep patterns, work experience, smoking status, and alcohol intake, were undertaken to see their influence on MSDs. The modified version of the Nordic Questionnaire was administered in the present cross-sectional study to collect data from 48 heavy vehicle drivers and 40 transportation office workers.
View Article and Find Full Text PDFSpine Deform
December 2024
Department of Orthopaedic Surgery, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Purpose: To investigate the adoption and sustained use of telehealth for managing early-onset scoliosis (EOS) during and after the COVID-19 pandemic.
Methods: A 35-question anonymous survey was emailed to 191 physician members of an international pediatric spine research group.
Results: Ninety seven clinicians completed the survey (51%).
Sensors (Basel)
November 2024
College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010020, China.
The advancement of unloading technology in combine harvesting is crucial for the intelligent development of agricultural machinery. Accurately measuring material pile height in transport vehicles is essential, as uneven accumulation can lead to spillage and voids, reducing loading efficiency. Relying solely on manual observation for measuring stack height can decrease harvesting efficiency and pose safety risks due to driver distraction.
View Article and Find Full Text PDFHeliyon
November 2024
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Liaoning, Dalian, 116028, China.
Background And Objective: Background and objective: Human fatigue is a major cause of road traffic accidents. Currently widely used fatigue driving detection methods are based on eyelid closure, vehicle information or physiological parameter detection. However, the detection of each single feature has certain limitations.
View Article and Find Full Text PDFTraffic Inj Prev
November 2024
Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Objective: The objective of this study is to examine the effects of seatback angle, seat rotation, and impact speed on occupant kinematics and injury risk in highly automated vehicles.
Methods: The study utilized the Global Human Body Models Consortium midsize male (M50-OS+B) simplified occupant model in a simplified vehicle model (SVM) to simulate frontal crashes. The M50-OS+B model was gravity-settled and belted into the driver and left rear passenger seat.
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