Fatigue detection software (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Fatigue detection software" in English language version.

refsWebsite

Global rank English rank

5doi.org

2^nd place

2nih.gov

4^th place

2psu.edu

207^th place

136^th place

1themorningbulletin.com.au

low place

1web.archive.org

1^st place

1drowsydriving.org

low place

1mhsc.org.za

low place

1transalt.com

low place

1smartcaptech.com

low place

1bts.gov

4,500^th place

2,822^nd place

1semanticscholar.org

11^th place

8^th place

1arxiv.org

69^th place

59^th place

1cdc.gov

218^th place

212^th place

1nytimes.com

7^th place

1stanford.edu

179^th place

183^rd place

arxiv.org

Wijnands, J.S.; Thompson, J.; Nice, K.A.; Aschwanden, G.D.P.A.; Stevenson, M. (2019). "Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks". Neural Computing and Applications. 32 (13): 9731–9743. arXiv:1910.06540. doi:10.1007/s00521-019-04506-0.

bts.gov

rosap.ntl.bts.gov

Federal Highway Administration (1998). "PERCLOS: A valid psychophysiological measure of alertness as assessed by psychomotor vigilance" (PDF). Washington, DC: US Department of Transportation. {{cite journal}}: Cite journal requires |journal= (help)

cdc.gov

Langley, Dr. Theodore D.; Heitmann, Dr. Anneke; Schnipke, Dr. Deborah L.; Ashford, Dr. J. Wesson; Hansen, Dr. Karen; Bowles, Henry M. (24 September 2009). "Measuring human fatigue with the BLT prototype". National Institute for Occupational Safety and Health. NIOSHTIC No. 20038627. Retrieved 10 October 2019.

doi.org

Friswell, R.; Williamson, A.M. (2011). "Investigating the relative effects of sleep deprivation and time of day on fatigue and performance". Accident Analysis & Prevention. 43 (2011): 690–697. doi:10.1016/j.aap.2010.10.013. PMID 21376856.
Dingus, T.A; Hardee, H.; Wierwille, W.W (1987). "Development of models for on-board detection of driver impairment". Accident Analysis & Prevention. 19 (4): 271–283. doi:10.1016/0001-4575(87)90062-5. PMID 3651201.
Ji, Q.; Lan, P.; Zhu, Z. (2004). "Real-time nonintrusive monitoring and prediction of driver fatigue". IEEE Transactions on Vehicular Technology. 55 (3): 1052–1068. CiteSeerX 10.1.1.79.846. doi:10.1109/TVT.2004.830974. S2CID 5971302.
Abulkair, M.; Alsahli, A.H.; Alzahrani, F.M; Alzahrani, H.A; Bahran, A.M; Ibrahim, L.F; Taleb, K.M (2015). "Mobile platform detect and alerts system for driver fatigue". Procedia Computer Science. 62 (2015): 555–564. doi:10.1016/j.procs.2015.08.531.
Wijnands, J.S.; Thompson, J.; Nice, K.A.; Aschwanden, G.D.P.A.; Stevenson, M. (2019). "Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks". Neural Computing and Applications. 32 (13): 9731–9743. arXiv:1910.06540. doi:10.1007/s00521-019-04506-0.

drowsydriving.org

"Facts and Stats". DrowsyDriving.org. Archived from the original on May 16, 2017. Retrieved April 30, 2017.

mhsc.org.za

Maldonado, C.C.; Schutte, P.C. (2003). "Factors affecting dirver alertness during the operation of haul trucks in the South African mining industry" (PDF). Pretoria: CSIR Mining Technology. {{cite journal}}: Cite journal requires |journal= (help)

nih.gov

pubmed.ncbi.nlm.nih.gov

Friswell, R.; Williamson, A.M. (2011). "Investigating the relative effects of sleep deprivation and time of day on fatigue and performance". Accident Analysis & Prevention. 43 (2011): 690–697. doi:10.1016/j.aap.2010.10.013. PMID 21376856.
Dingus, T.A; Hardee, H.; Wierwille, W.W (1987). "Development of models for on-board detection of driver impairment". Accident Analysis & Prevention. 19 (4): 271–283. doi:10.1016/0001-4575(87)90062-5. PMID 3651201.

nytimes.com

Taub, E.A. (May 16, 2017). "Sleepy behind the wheel? Some cars can tell". New York Times. Retrieved May 16, 2017.

psu.edu

citeseerx.ist.psu.edu

Barr, L.; Howarth, H.; Popkin, S.; Carroll, R. J. (2005). "A review and evaluation of emerging driver fatigue detection measures and technologies". Washington, DC: US Department of Transportation. CiteSeerX 10.1.1.508.8409. {{cite journal}}: Cite journal requires |journal= (help)
Ji, Q.; Lan, P.; Zhu, Z. (2004). "Real-time nonintrusive monitoring and prediction of driver fatigue". IEEE Transactions on Vehicular Technology. 55 (3): 1052–1068. CiteSeerX 10.1.1.79.846. doi:10.1109/TVT.2004.830974. S2CID 5971302.

semanticscholar.org

api.semanticscholar.org

Ji, Q.; Lan, P.; Zhu, Z. (2004). "Real-time nonintrusive monitoring and prediction of driver fatigue". IEEE Transactions on Vehicular Technology. 55 (3): 1052–1068. CiteSeerX 10.1.1.79.846. doi:10.1109/TVT.2004.830974. S2CID 5971302.

smartcaptech.com

"www.smartcaptech.com". www.smartcaptech.com. EdanSafe. 2015. Retrieved April 30, 2017.

stanford.edu

cs229.stanford.edu

Tinoco De Rubira, T. (December 11, 2009). "Automatic Fatigue Detection System" (PDF). Stanford University. {{cite journal}}: Cite journal requires |journal= (help)

themorningbulletin.com.au

"Coroner calls for shake-up of laws". The Morning Bulletin. February 24, 2011.

transalt.com

"Fatigue Monitoring Technology | Transportation Alternatives". Retrieved 2021-03-06.

web.archive.org

"Facts and Stats". DrowsyDriving.org. Archived from the original on May 16, 2017. Retrieved April 30, 2017.