Beta Tap: Back-Of-Device Tap Input With Built-In Sensors
MobileHCI(2017)
摘要
We present beta Tap, a Back-of-device (BoD) tap detection software for mobile devices that uses commodity sensors, without the need to instrument the device. Although just basic interactions are supported (namely, single and double taps), beta Tap is highly accurate and performance-friendly, since it uses a low-cost yet highly discriminative set of features. Our software is publicly available at the Google Play Store, so that others can build upon our work.
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关键词
BoD interaction, Tap-based input, Sensors, Machine learning, Feature selection, Software
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