Whitewater Helmet STAR: Evaluation of the Biomechanical Performance and Risk of Head Injury for Whitewater Helmets

Participants in American football experience repetitive head impacts that induce negative changes in neurocognitive function over the course of a single season. The current study aimed to quantify the transfer function connecting the force input to the measured output acceleration of the helmet system to provide a comparison of the impact attenuation of various modern American football helmets. Impact mitigation varied considerably between helmet models and with location for each helmet model. The current data indicate that helmet mass is a key variable driving force attenuation, however flexible helmet shells, helmet shell cut-outs, and more compliant padding can improve energy absorption.

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Design Considerations for the Attenuation of Translational and Rotational Accelerations in American Football Helmets

McIver

Lee

Bucherl

et al. 2023

Journal of Biomechanical Engineering

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Investigation into Recognition Technology of Helmet Wearing Based on HBSYOLOX-s

Gao

Zhang

2022

Applied Sciences

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This work proposes a new approach based on YOLOX model enhancement for the helmet-wearing real-time detection task, which is plagued by low detection accuracy, incorrect detection, and missing detection. First, in the backbone network, recursive gated convolution (gnConv) is utilized instead of traditional convolution, hence addressing the issue of extracting many worthless features due to excessive redundancy in the process of feature extraction using conventional convolution. Replace the original FPN layer in the Neck network with the EfficientNet-BiFPN layer. Realize top–down and bottom–up bidirectional fusion of deep and shallow features to improve the flow of feature data between network layers. Lastly, the SIOU cross-entropy loss function is implemented to address the issue of missed detections in crowded environments and further increase the model’s detection precision. Experiments and data comparisons indicate that the modified model’s average detection accuracy is 95.5%, which is 5.4% higher than that of the original network model, and that the detection speed has been dramatically increased to suit actual production requirements.

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Whitewater Helmet STAR: Evaluation of the Biomechanical Performance and Risk of Head Injury for Whitewater Helmets

Cited by 2 publications

References 43 publications

Design Considerations for the Attenuation of Translational and Rotational Accelerations in American Football Helmets

Design Considerations for the Attenuation of Translational and Rotational Accelerations in American Football Helmets

Investigation into Recognition Technology of Helmet Wearing Based on HBSYOLOX-s

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