TY - GEN
T1 - SofTouch
T2 - 16th IFIP TC 14 International Conference on Entertainment Computing, ICEC 2017
AU - Furui, Naomi
AU - Suzuki, Katsuhiro
AU - Sugiura, Yuta
AU - Sugimoto, Maki
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2017 Published by Springer International Publishing AG 2017. All Rights Reserved.
PY - 2017
Y1 - 2017
N2 - We propose a system that turns everyday soft objects, such as cushions, into touch interfaces in a non-intrusive manner. The belt type sensor modules developed in this study, which can be attached to the outside of soft objects, comprise several photo reflective sensors to measure the reflection intensity from an object by emitting infrared light (IR LED). When the light is irradiated to a material with the same reflection coefficient, a reflection intensity that is inversely proportional to the square of the distance can be obtained. Our method uses the sensor modules to measure the change in distance from the sensor to the surface of the soft object, and the touch position is estimated using a Support Vector Machine (SVM). To evaluate our method, we measured the accuracy when touching nine points on a cushion. Using existing everyday soft objects, it is possible to create interfaces that not only blend into the living space naturally but also match the preferences of each user.
AB - We propose a system that turns everyday soft objects, such as cushions, into touch interfaces in a non-intrusive manner. The belt type sensor modules developed in this study, which can be attached to the outside of soft objects, comprise several photo reflective sensors to measure the reflection intensity from an object by emitting infrared light (IR LED). When the light is irradiated to a material with the same reflection coefficient, a reflection intensity that is inversely proportional to the square of the distance can be obtained. Our method uses the sensor modules to measure the change in distance from the sensor to the surface of the soft object, and the touch position is estimated using a Support Vector Machine (SVM). To evaluate our method, we measured the accuracy when touching nine points on a cushion. Using existing everyday soft objects, it is possible to create interfaces that not only blend into the living space naturally but also match the preferences of each user.
KW - Photo reflective sensor
KW - Soft user interface
KW - Touch interface
UR - http://www.scopus.com/inward/record.url?scp=85028953448&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028953448&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-66715-7_6
DO - 10.1007/978-3-319-66715-7_6
M3 - Conference contribution
AN - SCOPUS:85028953448
SN - 9783319667140
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 47
EP - 58
BT - Entertainment Computing – ICEC 2017 - 16th IFIP TC 14 International Conference, Proceedings
A2 - Munekata, Nagisa
A2 - Hoshino, Junichi
A2 - Kunita, Itsuki
PB - Springer Verlag
Y2 - 18 September 2017 through 21 September 2017
ER -