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Creating, composing, and recognizing multisensor gestures in mobile devices

机译:在移动设备中创建,合成和识别多传感器手势

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The work reported here focuses on creating, composing, and recognizing multisensor gestures and their use in terms of remotely controlling another device. The approach allows to compose gestures synthetically, i.e., by recording complex gestures directly as they are performed, and analytically, i.e., by selecting and composing existing gestures to define more complex ones. Analytical gesture composition doesn't have to be sequential: the gestures can be superposed. We explored this in a setting of using a mobile device to control a remote device. In our case, this was a smartphone controlling a computer, which we assume to be most probable setting in practice. For this, a client-server system was developed consisting of the application running on the Android mobile device using the accelerometer, proximity sensor, touchscreen, and ambient light sensor to capture gestures. The server-side application that runs on a computer was developed to store and recognize gestures. The preliminary evaluation results are promising exhibiting the 85% rate in the ability of users to replicate gestures not created by them. According to informal observations, the user seem to be quite comfortable working with their own multisensor gestures.
机译:此处报告的工作集中于创建,合成和识别多传感器手势及其在远程控制其他设备方面的用途。该方法允许合成手势,即通过在执行复杂手势时直接记录复杂手势,以及分析方式,即通过选择和组合现有手势以定义更复杂手势,来合成手势。分析手势的组成不必是连续的:手势可以叠加。我们在使用移动设备控制远程设备的设置中对此进行了探索。在我们的案例中,这是一部控制计算机的智能手机,我们认为这实际上是最可能的设置。为此,开发了一个客户端服务器系统,该系统由运行在Android移动设备上的应用程序组成,该应用程序使用加速度计,接近传感器,触摸屏和环境光传感器来捕获手势。在计算机上运行的服务器端应用程序是为存储和识别手势而开发的。初步评估结果有望在用户复制非他们创建的手势的能力方面显示出85%的比率。根据非正式观察,用户似乎对使用自己的多传感器手势非常满意。

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