As smartwatches are becoming more widely used in society, gesture recognition, as an important aspect of#R##N##R##N#interaction with smartwatches, is attracting attention. An accelerometer that is incorporated in a device is#R##N##R##N#often used to recognize gestures. However, a gesture is often detected falsely when a similar pattern of action#R##N##R##N#occurs in daily life. In this paper, we present a novel method of designing a new gesture that reduces false#R##N##R##N#detection. We refer to such a gesture as a low-false-positive (LFP) gesture. The proposed method enables#R##N##R##N#a gesture design system to suggest LFP motion gestures automatically. The user of the system can design#R##N##R##N#LFP gestures more easily and quickly than what has been possible in previous work. Our method combines#R##N##R##N#primitive gestures to create an LFP gesture. The combination of primitive gestures is recognized quickly#R##N##R##N#and accurately by a random forest algorithm using our method. We experimentally demonstrate the good#R##N##R##N#recognition performance of our method for a designed gesture with a high recognition rate and without false#R##N##R##N#detection.
['Ryo Kawahata', 'Atsushi Shimada', 'Takayoshi Yamashita', 'Hideaki Uchiyama', 'Rin-ichiro Taniguchi']
Design of a Low-false-positive Gesture for a Wearable Device