Feasibility study for the estimation of a motorcycle helmet Centre of Gravity accelerations with 6 Degrees of Freedom (6DOF) system

Bracali, Andrea; Barbani, Daniele; Baldanzini, Niccolò

doi:10.1016/j.trip.2022.100603

Cited by 2 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The helmet model consists of an outer shell, an energy-absorbing liner, a chin pad and a chin strap. Further information about the helmet finite element model used in this paper can be found in [ 34 ]. This model was updated, including the accelerometers of the measurement device.…”

Section: Methodsmentioning

confidence: 99%

“…This model was updated, including the accelerometers of the measurement device. Further information about the procedure adopted to select the accelerometer locations can be found in [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

“…Specifically, it proposes a novel method to estimate, as time functions, the components of head linear and rotational accelerations from signals provided by twelve single-axis accelerometers embedded in the outer shell of a motorcycle helmet. The sensors are organized in orthogonally oriented pairs at six different locations, with their sensing axis tangential to the helmet, as described in [ 34 ]. The system’s non-linearity at the helmet–head interface is modeled within the estimation process using deep learning ANNs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet

Bracali

Baldanzini

2022

Sensors

Self Cite

View full text Add to dashboard Cite

Traumatic Brain Injuries (TBIs) are one of the most frequent and severe outcomes of a Powered Two-Wheeler (PTW) crash. Early diagnosis and treatment can greatly reduce permanent consequences. Despite the fact that devices to track head kinematics have been developed for sports applications, they all have limitations, which hamper their use in everyday road applications. In this study, a new technical solution based on accelerometers integrated in a motorcycle helmet is presented, and the related methodology to estimate linear and rotational acceleration of the head with deep Artificial Neural Networks (dANNs) is developed. A finite element model of helmet coupled with a Hybrid III head model was used to generate data needed for the neural network training. Input data to the dANN model were time signals of (virtual) accelerometers placed on the inner surface of the helmet shell, while the output data were the components of linear and rotational head accelerations. The network was capable of estimating, with good accuracy, time patterns of the acceleration components in all impact conditions that require medical treatment. The correlation between the reference and estimated values was high for all parameters and for both linear and rotational acceleration, with coefficients of determination (R2) ranging from 0.91 to 0.97.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet

Bracali

Baldanzini

2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Meanwhile, a data package rich in information about the accident will be automatically sent to the operator, including the time, precise location, vehicle plate, eCall triggered mode, and information about the relevant emergency service providers. Since January 2015, the I_HeERO project has been launched in Europe to construct the required Public Safety Answering Points (PSAP) facilities to introduce pan-European eCalls [106]. The project is hosted by over 10 EU member states and over 100 relevant partnerships.…”

Section: Ecallmentioning

confidence: 99%

“…Promoting investment in PSAP infrastructure and service interaction projects in EU member states; • Advancing the preparation process for the universalization of eCall for vehicles with a high danger ratio, including chemical goods vehicles, long-term passenger carriers, and Powered Two-Wheeled machines (PTWs) [106];…”

mentioning

confidence: 99%

Trends and Emerging Technologies for the Development of Electric Vehicles

Liu

Lau

et al. 2022

Energies

View full text Add to dashboard Cite

In response to severe environmental and energy crises, the world is increasingly focusing on electric vehicles (EVs) and related emerging technologies. Emerging technologies for EVs have great potential to accelerate the development of smart and sustainable transportation and help build future smart cities. This paper reviews new trends and emerging EV technologies, including wireless charging, smart power distribution, vehicle-to-home (V2H) and vehicle-to-grid (V2G) systems, connected vehicles, and autonomous driving. The opportunities, challenges, and prospects for emerging EV technologies are systematically discussed. The successful commercialization development cases of emerging EV technologies worldwide are provided. This review serves as a reference and guide for future technological development and commercialization of EVs and offers perspectives and recommendations on future smart transportation.

show abstract

Feasibility study for the estimation of a motorcycle helmet Centre of Gravity accelerations with 6 Degrees of Freedom (6DOF) system

Cited by 2 publications

References 21 publications

Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet

Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective Helmet

Trends and Emerging Technologies for the Development of Electric Vehicles

Contact Info

Product

Resources

About