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Predicting touch operations by using hover information in smartphones for data prefetching

机译:通过在智能手机中使用鼠标信息来预测触摸操作以进行数据预取

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This paper presents new methods to predict input operations on smartphones. Frequently occurring poor network conditions such as low signal strength or congestion of the radio link can increase the latency of smartphone operations. Prediction can improve the latency by prefetching the content that is requested by the predicted operation. We developed methods to predict the input operation by using hover detection on the touch screen. Smartphone functions in recent years have included a function to detect the position of a finger several centimeters above the touch screen. The touch position and the type of operation to be performed are predicted by using the detected positions of the finger before the finger touches the screen. We evaluated this method on a smartphone launcher application. The results indicated that our methods were effective for predicting the operation and improving the latency.
机译:本文介绍了预测智能手机输入操作的新方法。经常出现差的网络条件,例如低信号强度或无线电链路的拥塞可以增加智能手机操作的延迟。预测可以通过预取预测操作请求的内容来改善延迟。我们开发了通过在触摸屏上使用悬停检测来预测输入操作的方法。近年来智能手机功能包括一个功能,用于检测手指的位置几厘米在触摸屏上方。通过在手指触摸屏幕之前使用手指的检测位置来预测要执行的触摸位置和操作类型。我们在智能手机启动器应用程序上评估了此方法。结果表明,我们的方法是有效预测操作和改善延迟的有效。

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