SAE Technical Paper Series 2012
DOI: 10.4271/2012-22-0006
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Development of a Human Body Finite Element Model with Multiple Muscles and their Controller for Estimating Occupant Motions and Impact Responses in Frontal Crash Situations

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Cited by 28 publications
(27 citation statements)
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“…Being able to predict the human occupant response in both precrash-for example, either driver-induced or autonomous braking and steering maneuvers (Unselt et al 2011)-and in-crash situations (Kumar et al 2002(Kumar et al , 2003(Kumar et al , 2004 is crucial for assessment and further enhancement of these safety technologies. Human body models (HBM), mathematical tools that support the development of safety technologies, have been fitted with muscle control systems to provide for humanlike occupant response in precrash situations (Iwamoto et al 2012;€ Osth et al 2012€ Osth et al , 2015Subit et al 2016). These models, referred to as active human body models (AHBMs), need to be validated with volunteer data, including body kinematics and muscle activities, in different and representative potential precrash loading scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…Being able to predict the human occupant response in both precrash-for example, either driver-induced or autonomous braking and steering maneuvers (Unselt et al 2011)-and in-crash situations (Kumar et al 2002(Kumar et al , 2003(Kumar et al , 2004 is crucial for assessment and further enhancement of these safety technologies. Human body models (HBM), mathematical tools that support the development of safety technologies, have been fitted with muscle control systems to provide for humanlike occupant response in precrash situations (Iwamoto et al 2012;€ Osth et al 2012€ Osth et al , 2015Subit et al 2016). These models, referred to as active human body models (AHBMs), need to be validated with volunteer data, including body kinematics and muscle activities, in different and representative potential precrash loading scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…2 , 5 More recent methods have optimized activation levels to fi t the model's kinematic responses to volunteer corridors 1 and implemented feedback control that regulates muscle activation to simulate the central nervous system. 11 Despite these various efforts to model active cervical muscle responses, few of the proposed activation schemes are based on or compared with experimental data from in vivo recordings of muscle activation before and during loading. To overcome this limitation, a controller capable of simulating individual muscle activation has been developed.…”
mentioning
confidence: 99%
“…,where P ih are the percentage contributions of each muscle to the pushing force, which were set according to the information about the role of each muscle, as described in anatomical texts (10) and the measured EMG (Electromyography) data from volunteer tests in a braced position, which was conducted in our previous study (12) . For example, the percentage contributions of the right Biceps Femoris (Long Head) and right Gluteus Maximus for the pushing force on the right brake pedal are 0.3 and 0.1, respectively.…”
Section: Muscle Controllermentioning
confidence: 99%