计算机科学
极高频率
雷达
可穿戴计算机
雷达成像
人工智能
任务(项目管理)
遥感
计算机视觉
电信
工程类
地理
嵌入式系统
系统工程
作者
Doga Nalci,Yusuf Sinan Akgül
标识
DOI:10.1109/hora55278.2022.9800009
摘要
Prediction of human movements is a current hot topic that researchers are working on. The most common technologies such as image or wearable inertial sensors are not preferable due to privacy issues or subject discomfort. In this study, we propose to use FMCW (Frequency Modulated Continuous Waves) Millimeter Wavelength (MmWave) Radar technology in raw format for this task. We recorded human movements using FMCW MmWave, and fed our CNN network by transforming a multi-channel 2D structure with our new method called Video Of Radar (VIDAR). We tested our model with both real-time human movements and offline test datasets. The results were promising with over 90% accuracy.
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