Distributed sensor for steering wheel grip force measurement in driver fatigue detection

Baronti, Federico; Lenzi, F.; Roncella, Roberto; Saletti, Roberto

doi:10.1109/date.2009.5090790

Cited by 17 publications

(11 citation statements)

References 8 publications

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“…Apart from facial feature-based methods for fatigue detection there are propositions based on grip force measurement [23,24], monitoring Electrocardiography (ECG) indexes [25], Electroencephalogram (EEG) power spectrum analysis [26,27], etc.…”

Section: Related Workmentioning

confidence: 99%

Fatigue Detection Using Facial Landmarks

Irtija

Sami

Ahad

2018

ISASE

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Detection of fatigue in human face is crucial for medical and safety purposes. Although it is a simple task for a human observer, for a computer, it is a very challenging problem. That is why various attempts were made to successfully detect fatigue. In this paper, we tried to determine the presence of fatigue in a face using computer vision. Here we proposed a method for fatigue recognition by exploiting the facial landmarks. We used the OpenCV library for image processing, and dlib library for feature extraction. The whole method was tested on the extended Cohn-Kanade dataset and the Psychological Image Collection at Stirling (PICS) dataset where it provided a satisfactory level of accuracy.

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Section: Related Workmentioning

confidence: 99%

Fatigue Detection Using Facial Landmarks

Irtija

Sami

Ahad

2018

ISASE

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“…As recently investigated [13][14][15], measurement devices placed on the steering wheel can also include a grip force sensor. These studies focused on the grip force measurement either as an input to control inboard devices or for forearm fatigue estimation.…”

Section: Introductionmentioning

confidence: 99%

“… 13. shows the value of forces and torques reached by each hand during clockwise and counterclockwise efforts.…”

mentioning

confidence: 99%

Instrumented steering wheel for biomechanical measurements

2012

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“…(2007) also developed driver fatigue detecting systems through a comprehensive multi-sensor driver-monitoring system that included the grip force [18], [20]- [21]. However, most previous studies focused on the development of measurement methods and did not verify the validity of the grip-force measure through empirical studies.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, because it is not affected by illumination and the external environments, the measurement can be performed in both daytime and nighttime, thereby reducing the time constraints. Moreover, attaching a grip force sensor to a steering wheel costs less than other measures [18].…”

Section: Introductionmentioning

confidence: 99%