A Radar Measurement Setup with a Ground Truth System for Micro-Doppler Human Movements

Karim Ishak, Z. Zafar, Maximilian Steiner, N. Appenrodt, J. Dickmann, C. Waldschmidt
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引用次数: 1

Abstract

Human gestures and movements recognition is becoming an indispensable task in today’s world for many ranges of applications. For example, radar sensors are of big interest in the automotive industry due to its many advantages such as the ability to work in various weather conditions beside performing during night as well as during daytime. A ground truth system would be advantageous in labelling and obtaining more details of the measured scenarios. In this paper, a measurement setup with a ground truth system using Kinect is going to be used. Processing of the data obtained from Kinect proves to be helpful in getting more information about the performed gestures. The synchronization between Kinect and radar is also an important issue, which is performed here on a hardware level to minimize the delays from the software level. In a world where deep learning is increasingly used in various aspects of life, having more synchronized data points from Kinect beside the ones from the radar is also needed.
微多普勒人体运动地面真相系统雷达测量装置
在当今世界的许多应用中,人类手势和动作识别正在成为一项不可或缺的任务。例如,雷达传感器在汽车行业引起了很大的兴趣,因为它具有许多优点,例如在各种天气条件下工作的能力,以及在夜间和白天工作的能力。地面真相系统在标记和获得测量情景的更多细节方面是有利的。在本文中,将使用使用Kinect的地面真相系统的测量设置。处理从Kinect获得的数据被证明有助于获得更多关于所执行手势的信息。Kinect和雷达之间的同步也是一个重要问题,这是在硬件层面上执行的,以最大限度地减少软件层面的延迟。在一个深度学习越来越多地应用于生活各个方面的世界里,除了来自雷达的数据点之外,还需要更多来自Kinect的同步数据点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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