高效的口袋检测与手机

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication Pub Date : 2013-09-08 DOI:10.1145/2494091.2494099

Jun Yang, Emmanuel Munguia Tapia, S. Gibbs

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引用次数: 27

摘要

在这篇演示论文中，我们展示了一种新的方法来检测手机的常见位置，如“在口袋里”、“在包里”或“在口袋外或包里”，从嵌入式接近(IR)和光传感器。我们使用传感器数据融合和模式识别从传感器信号中提取不同的特征，并对这三种手机放置上下文之间的边界进行分类。在三星泰泽手机上展示了检测结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Efficient in-pocket detection with mobile phones

In this demonstration paper, we show a novel approach to detect the common placements of a mobile phone, such as "in pocket", "in bag" or "out of pocket or bag", from embedded proximity (IR) and light sensors. We use sensor data fusion and pattern recognition to extract distinct features from sensor signals and classify the boundaries among these three phone placement contexts. The detection results are demonstrated on a Samsung Tizen mobile phone.

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Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

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