TY - GEN
T1 - Design of a low-false-positive gesture for awearable device
AU - Kawahata, Ryo
AU - Shimada, Atsushi
AU - Yamashita, Takayoshi
AU - Uchiyama, Hideaki
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
© Copyright 2016 by SCITEPRESS -Science and Technology Publications, Lda. All rights reserved.
PY - 2016
Y1 - 2016
N2 - As smartwatches are becoming more widely used in society, gesture recognition, as an important aspect of interaction with smartwatches, is attracting attention. An accelerometer that is incorporated in a device is often used to recognize gestures. However, a gesture is often detected falsely when a similar pattern of action occurs in daily life. In this paper, we present a novel method of designing a new gesture that reduces false detection. We refer to such a gesture as a low-false-positive (LFP) gesture. The proposed method enables a gesture design system to suggest LFP motion gestures automatically. The user of the system can design LFP gestures more easily and quickly than what has been possible in previous work. Our method combines primitive gestures to create an LFP gesture. The combination of primitive gestures is recognized quickly and accurately by a random forest algorithm using our method. We experimentally demonstrate the good recognition performance of our method for a designed gesture with a high recognition rate and without false detection.
AB - As smartwatches are becoming more widely used in society, gesture recognition, as an important aspect of interaction with smartwatches, is attracting attention. An accelerometer that is incorporated in a device is often used to recognize gestures. However, a gesture is often detected falsely when a similar pattern of action occurs in daily life. In this paper, we present a novel method of designing a new gesture that reduces false detection. We refer to such a gesture as a low-false-positive (LFP) gesture. The proposed method enables a gesture design system to suggest LFP motion gestures automatically. The user of the system can design LFP gestures more easily and quickly than what has been possible in previous work. Our method combines primitive gestures to create an LFP gesture. The combination of primitive gestures is recognized quickly and accurately by a random forest algorithm using our method. We experimentally demonstrate the good recognition performance of our method for a designed gesture with a high recognition rate and without false detection.
UR - http://www.scopus.com/inward/record.url?scp=84970021716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84970021716&partnerID=8YFLogxK
U2 - 10.5220/0005701905810588
DO - 10.5220/0005701905810588
M3 - Conference contribution
AN - SCOPUS:84970021716
T3 - ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
SP - 581
EP - 588
BT - ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods
A2 - De Marsico, Maria
A2 - di Baja, Gabriella Sanniti
A2 - Fred, Ana
PB - SciTePress
T2 - 5th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2016
Y2 - 24 February 2016 through 26 February 2016
ER -