1. 长春理工大学机电工程学院
2. 吉林大学第一医院血液科
3. 吉林大学第一医院小儿呼吸科
纸质出版:2024
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汤发源, 赵永兴, 刘晓亮, 等. 基于骨架特征的人体跌倒检测[J]. 传感器与微系统, 2024,(3):115-119+124.
汤发源, 赵永兴, 刘晓亮, 等. 基于骨架特征的人体跌倒检测[J]. 传感器与微系统, 2024,(3):115-119+124. DOI: 10.13873/J.1000-9787(2024)03-0115-05.
针对现有基于人体骨架跌倒检测设备要求高的问题,提出了一种基于轻量级OpenPose生成骨架特征的跌倒检测方法。首先,基于轻量级OpenPose网络检测人体关键点,利用人体部分关键点生成边界框,并对关键点坐标进行标准化处理,将边界框的纵横比和标准化后的关键点坐标作为表示人体姿态的特征向量。最后,将人体姿态特征向量作为多层感知机(MLP)的输入,判断人体是否发生跌倒。实验结果表明,基于单目相机采集图片构造的自定义跌倒数据集,网络可以实现98.64%的跌倒检测准确率,并且在Core
TM
i5—9300H CPU上达到20 fps的检测速度。
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