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首页> 外文期刊>International journal of ambient computing and intelligence >Teach Your WiFi-Device: Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features
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Teach Your WiFi-Device: Recognise Simultaneous Activities and Gestures from Time-Domain RF-Features

机译:教您的WiFi设备:从时域RF功能识别同步活动和手势

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摘要

The authors consider two untackledproblems in RF-based activity recognition: the distinction of simultaneously conducted activities of individuals and the recognition of gestures from purely time-domain-based features. Recognition is based on a single antenna system. This is important for the application in end-user devices which are usually single-antenna systems and have seldom access to more sophisticated, e.g. frequency-based features. In case studies with software defined radio nodes utilised in an active, device-free activity recognition (DFAR) system, the authors observe a good recognition accuracy for the detection of multiple simultaneously conducted activities with two and more receive devices. Four gestures and two baseline situations are distinguished with good accuracy in a second case study.
机译:作者考虑了基于RF的活动识别中的两个未解决的问题:区分个人同时进行的活动以及从纯粹基于时域的特征中识别手势。识别基于单个天线系统。对于最终用户设备中的应用而言,这一点很重要,后者通常是单天线系统,很少访问更复杂的设备,例如基于频率的功能。在使用有源无设备活动识别(DFAR)系统中使用软件定义的无线电节点进行的案例研究中,作者观察到了良好的识别精度,可检测到两个或更多接收设备同时进行的多个活动。在第二个案例研究中,四个手势和两个基线情况被很好地区分了。

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