论文标题
多模式步态识别的散射功能
Scattering Features for Multimodal Gait Recognition
论文作者
论文摘要
我们考虑了人们根据步行（步态）模式来识别人们的问题。解决此问题的经典方法基于嵌入地板中的视频录制或压电传感器。在这项工作中，我们分别依赖于从麦克风和地球管传感器获得的声学和振动测量值。这项工作的贡献是双重的。首先，我们提出了一种基于（未经训练的）浅散射网络的特征提取方法，该方法是专门针对步态信号量身定制的。其次，我们证明融合两种方式可以改善实际相关的开放场景方案的识别。
We consider the problem of identifying people on the basis of their walk (gait) pattern. Classical approaches to tackle this problem are based on, e.g., video recordings or piezoelectric sensors embedded in the floor. In this work, we rely on acoustic and vibration measurements, obtained from a microphone and a geophone sensor, respectively. The contribution of this work is twofold. First, we propose a feature extraction method based on an (untrained) shallow scattering network, specially tailored for the gait signals. Second, we demonstrate that fusing the two modalities improves identification in the practically relevant open set scenario.
