TY - GEN
T1 - EarTouch
T2 - 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
AU - Kikuchi, Takashi
AU - Sugiura, Yuta
AU - Masai, Katsutoshi
AU - Sugimoto, Maki
AU - Thomas, Bruce H.
N1 - Funding Information:
This work was supported by JSPS KAKENHI Numbers JP26700017 and JP16H01741.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/9/4
Y1 - 2017/9/4
N2 - In this paper, we propose EarTouch, a new sensing technology for ear-based input for controlling applications by slightly pulling the ear and detecting the deformation by an enhanced earphone device. It is envisioned that EarTouch will enable control of applications such as music players, navigation systems, and calendars as an "eyes-free" interface. As for the operation of EarTouch, the shape deformation of the ear is measured by optical sensors. Deformation of the skin caused by touching the ear with the fingers is recognized by attaching optical sensors to the earphone and measuring the distance from the earphone to the skin inside the ear. EarTouch supports recognition of multiple gestures by applying a support vector machine (SVM). EarTouch was validated through a set of user studies.
AB - In this paper, we propose EarTouch, a new sensing technology for ear-based input for controlling applications by slightly pulling the ear and detecting the deformation by an enhanced earphone device. It is envisioned that EarTouch will enable control of applications such as music players, navigation systems, and calendars as an "eyes-free" interface. As for the operation of EarTouch, the shape deformation of the ear is measured by optical sensors. Deformation of the skin caused by touching the ear with the fingers is recognized by attaching optical sensors to the earphone and measuring the distance from the earphone to the skin inside the ear. EarTouch supports recognition of multiple gestures by applying a support vector machine (SVM). EarTouch was validated through a set of user studies.
KW - Earphone
KW - Photo reflective sensor
KW - Skin deformation
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UR - http://www.scopus.com/inward/citedby.url?scp=85030329472&partnerID=8YFLogxK
U2 - 10.1145/3098279.3098538
DO - 10.1145/3098279.3098538
M3 - Conference contribution
AN - SCOPUS:85030329472
T3 - Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
BT - Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017
PB - Association for Computing Machinery, Inc
Y2 - 4 September 2017 through 7 September 2017
ER -