Swiss-Cheese Extended proposes a novel real-time method for recognizing objects with capacitive proximity sensors. Applying this technique to ubiquitous user interfaces, it is possible to detect the 3D-position of multiple human hands in different configurations above a surface that is equipped with a small number of sensors. The retrieved object configurations can significantly improve a user's interaction experience or an application's execution context, for example by detecting multi-hand zoom and rotation gestures or recognizing a grasping hand. We emphasize the broad applicability of the proposed method with a study of a multi-hand gesture recognition device.
%0 Conference Paper
%1 Grosse-Puppendahl:2013:SEO:2470654.2466186
%A Grosse-Puppendahl, Tobias
%A Braun, Andreas
%A Kamieth, Felix
%A Kuijper, Arjan
%B Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
%C New York, NY, USA
%D 2013
%I ACM
%K activityrecognition objectrecognition sensors
%P 1401--1410
%R 10.1145/2470654.2466186
%T Swiss-cheese Extended: An Object Recognition Method for Ubiquitous Interfaces Based on Capacitive Proximity Sensing
%U http://doi.acm.org/10.1145/2470654.2466186
%X Swiss-Cheese Extended proposes a novel real-time method for recognizing objects with capacitive proximity sensors. Applying this technique to ubiquitous user interfaces, it is possible to detect the 3D-position of multiple human hands in different configurations above a surface that is equipped with a small number of sensors. The retrieved object configurations can significantly improve a user's interaction experience or an application's execution context, for example by detecting multi-hand zoom and rotation gestures or recognizing a grasping hand. We emphasize the broad applicability of the proposed method with a study of a multi-hand gesture recognition device.
%@ 978-1-4503-1899-0
@inproceedings{Grosse-Puppendahl:2013:SEO:2470654.2466186,
abstract = {Swiss-Cheese Extended proposes a novel real-time method for recognizing objects with capacitive proximity sensors. Applying this technique to ubiquitous user interfaces, it is possible to detect the 3D-position of multiple human hands in different configurations above a surface that is equipped with a small number of sensors. The retrieved object configurations can significantly improve a user's interaction experience or an application's execution context, for example by detecting multi-hand zoom and rotation gestures or recognizing a grasping hand. We emphasize the broad applicability of the proposed method with a study of a multi-hand gesture recognition device.},
acmid = {2466186},
added-at = {2015-02-12T00:06:57.000+0100},
address = {New York, NY, USA},
author = {Grosse-Puppendahl, Tobias and Braun, Andreas and Kamieth, Felix and Kuijper, Arjan},
biburl = {https://www.bibsonomy.org/bibtex/2a78abd88a1fe206dac3c9f1e5678603f/lutful_kabir},
booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},
description = {Swiss-cheese extended},
doi = {10.1145/2470654.2466186},
interhash = {d8664d4f37191be82b7e0cba55cb0942},
intrahash = {a78abd88a1fe206dac3c9f1e5678603f},
isbn = {978-1-4503-1899-0},
keywords = {activityrecognition objectrecognition sensors},
location = {Paris, France},
numpages = {10},
pages = {1401--1410},
publisher = {ACM},
series = {CHI '13},
timestamp = {2015-02-12T00:06:57.000+0100},
title = {Swiss-cheese Extended: An Object Recognition Method for Ubiquitous Interfaces Based on Capacitive Proximity Sensing},
url = {http://doi.acm.org/10.1145/2470654.2466186},
year = 2013
}