Comput Math Methods Med - A fuzzy model to interpret data of drive performances from patients with sleep deprivation.

Tópicos

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{ ehr(2073) health(1662) electron(1139) }
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{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
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{ first(2504) two(1366) second(1323) }
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Resumo

The search for safe vehicles is increasing with both diffusion of high traffic density over the world and availability of new technologies providing sophisticated tools previously impossible to realize. Design and development of the necessary devices may be based on simulation tests that reduce cost allowing trials in many directions. A proper choice of the arrangement of the drive simulators, as much as of the parameters to be monitored, is of basic importance as they can address the design of devices somehow responsible for the drivers safety or, even their lives. This system setup, consisting of a free car simulator equipped with a monitoring system, collects in a nonintrusive way data of the car lateral position within the road lane and of its first derivative. Based on these measured parameters, the system is able to detect symptoms of drowsiness and sleepiness. The analysis is realized by a fuzzy inferential process that provides an immediate warning signal as soon as drowsiness is detected with a high level of certainty. Enhancement of reliability and minimisation of the false alarm rate are obtained by operating continuous comparison between learned driver typical modalities of operation on the control command of the vehicle the pattern recorded.

Resumo Limpo

search safe vehicl increas diffus high traffic densiti world avail new technolog provid sophist tool previous imposs realiz design develop necessari devic may base simul test reduc cost allow trial mani direct proper choic arrang drive simul much paramet monitor basic import can address design devic somehow respons driver safeti even live system setup consist free car simul equip monitor system collect nonintrus way data car later posit within road lane first deriv base measur paramet system abl detect symptom drowsi sleepi analysi realiz fuzzi inferenti process provid immedi warn signal soon drowsi detect high level certainti enhanc reliabl minimis fals alarm rate obtain oper continu comparison learn driver typic modal oper control command vehicl pattern record

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