Recently, motorcycle accidents have increased as the number of motorcycle drivers has increased. Although the head and neck are the body parts most frequently injured when a motorcycle accident occurs, there is a lack of research on the protection afforded to the neck by the safety equipment used by motorcycle drivers. This study presents an airbag system that uses artificial intelligence to prevent injury to the neck of a motorcycle driver. It uses a six-axis sensor, the MPU6050 sensor, which measures acceleration and angular velocity in real time as the user moves. The angles are obtained by using the measured acceleration and angular velocity, and the accident situation is judged by AI, which analyzes the acceleration and angle data. Because data is needed for AI to learn, data by type were collected through experiments. In this study, we compare the judgement performance of a parallel neural networks–convolutional neural network and a parallel neural network.

中文翻译：

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用于可穿戴摩托车安全气囊系统的并行神经网络-卷积神经网络

最近，随着摩托车驾驶员数量的增加，摩托车事故也有所增加。虽然头部和颈部是摩托车事故中最容易受伤的身体部位，但对于摩托车驾驶员使用的安全设备对颈部的保护作用缺乏研究。这项研究提出了一种使用人工智能来防止摩托车驾驶员颈部受伤的安全气囊系统。它使用六轴传感器 MPU6050 传感器，可在用户移动时实时测量加速度和角速度。角度是利用测得的加速度和角速度得出的，并通过人工智能判断事故情况，人工智能对加速度和角度数据进行分析。由于人工智能学习需要数据，所以通过实验收集了按类型划分的数据。在这项研究中，