Word-Fi is a handwriting input system, driven by wireless backscattering technology and machine learning methods. It could effectively mitigate the surrounding noise and extract the weak signals incurred by tiny writing gestures accurately. Leveraging our customized wireless backscattering system, Word-Fi could be noise tolerant across relatively complex environments, especially when multiple persons are presented around, which significantly differs from status quo wireless sensing systems that suffer from multi-user presentation. For weak signal extraction, Word- Fi incorporates an efficient feature selection scheme for classification and improves the classifier by fully exploiting the physical layer information. After using the word suggestion module, it could recognize writing words with fairly high accuracy (above 90 percent) across different volunteers (7-10).

中文翻译：

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Word-Fi：无线反向散射和机器学习支持的精确手写系统


Word-Fi 是一种手写输入系统，由无线反向散射技术和机器学习方法驱动。它可以有效地减弱周围的噪音，并准确地提取微小书写手势产生的微弱信号。利用我们定制的无线反向散射系统，Word-Fi 可以在相对复杂的环境中耐受噪声，特别是当周围有多人时，这与遭受多用户演示的现状无线传感系统有很大不同。对于弱信号提取，Word-Fi 结合了有效的特征选择方案进行分类，并通过充分利用物理层信息改进了分类器。使用单词建议模块后，它可以以相当高的准确率（90％以上）识别不同志愿者（7-10）的书写单词。