scholarly journals Impact attenuation of user-centred bicycle helmet design with different foam densities

2019 ◽  
Vol 1150 ◽  
pp. 012043 ◽  
Author(s):  
H Mustafa ◽  
T Y Pang ◽  
T Ellena ◽  
S H Nasir
2015 ◽  
Vol 112 ◽  
pp. 77-84 ◽  
Author(s):  
Helmy Mustafa ◽  
Toh Yen Pang ◽  
Thierry Perret-Ellena ◽  
Aleksandar Subic

2021 ◽  
Vol 8 (11) ◽  
pp. 173
Author(s):  
Kwong Ming Tse ◽  
Daniel Holder

In this study, a novel expandable bicycle helmet, which integrates an airbag system into the conventional helmet design, was proposed to explore the potential synergetic effect of an expandable airbag and a standard commuter-type EPS helmet. The traumatic brain injury mitigation performance of the proposed expandable helmet was evaluated against that of a typical traditional bicycle helmet. A series of dynamic impact simulations on both a helmeted headform and a representative human head with different configurations were carried out in accordance with the widely recognised international bicycle helmet test standards. The impact simulations were initially performed on a ballast headform for validation and benchmarking purposes, while the subsequent ones on a biofidelic human head model were used for assessing any potential intracranial injury. It was found that the proposed expandable helmet performed admirably better when compared to a conventional helmet design—showing improvements in impact energy attenuation, as well as kinematic and biometric injury risk reduction. More importantly, this expandable helmet concept, integrating the airbag system in the conventional design, offers adequate protection to the cyclist in the unlikely case of airbag deployment failure.


2020 ◽  
Vol 11 (3) ◽  
pp. 197
Author(s):  
Lijuan He ◽  
Shijie Ruan ◽  
Haiyan Li ◽  
Shihai Cui ◽  
Bei Li

2020 ◽  
Vol 11 (3) ◽  
pp. 197
Author(s):  
Bei Li ◽  
Haiyan Li ◽  
Shihai Cui ◽  
Lijuan He ◽  
Shijie Ruan

1999 ◽  
Author(s):  
Mary E. Gross ◽  
Bruce Bradtmiller
Keyword(s):  

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.


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