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Near drowning pattern recognition using neural network and wearable pressure and inertial sensors attached at swimmer's chest level

机译:使用游泳者胸部水平处安装的神经网络和可穿戴式压力与惯性传感器进行接近溺水模式识别

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Drowning incidents occurs even in the presence of professional lifeguards. In this research we aim to detect automatically near drowning pattern using information measured from pressure sensor, accelerometer and gyroscope attached at a swimmer chest level. For this we ask a professional lifeguard to imitate near drowning victims. Then we process the obtained data with neural networks. The obtained results show that the trained neural network succeed to classify automatically swimming and near drowning patterns.
机译:溺水事件即使在专业救生员在场的情况下也会发生。在这项研究中,我们的目标是使用从游泳者胸部水平处附着的压力传感器,加速度计和陀螺仪测量的信息来自动检测接近溺水的情况。为此,我们要求专业的救生员模仿临近的溺水受害者。然后,我们使用神经网络处理获得的数据。获得的结果表明,训练有素的神经网络成功地对游泳和接近溺水的模式进行了自动分类。

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