This paper introduces a system for gesture based interaction with smart
environments. The framework we present connects gesture recognition results with
control commands for appliances in a smart home that are accessed through a middleware
based on the ISO 24752 standard URC (Universal Remote Console). Gesture
recognition is realized by applying three dimensional acceleration sensor information
of the WiiMote from Nintendo. This information is trained to a toolkit for
gesture recognition that implements machine learning algorithms well known from
speech recognition. Our study focuses on two interaction concepts with the aim to
exploit the context and special home scenarios. This serves to reduce the number of
gestures while in parallel retaining the control complexity on a high level. A user
test, also with older persons, compares both concepts and evaluates their efficiency
by observing the response times and the subjective impressions of the test persons.
%0 Conference Paper
%1 neßelrath2011gesture
%A Neßelrath, Robert
%A Lu, Chensheng
%A Schulz, Christian H.
%A Frey, Jochen
%A Alexandersson, Jan
%B Ambient Assisted Living, 4. AAL-Kongress 2011, Berlin, Germany, January 25-26, 2011
%D 2011
%E Wichert, Reiner
%E Eberhardt, Birgid
%I Springer
%K classification cognitive disabilities gesture multimodal myown
%P 209--219
%T A Gesture Based System for Context-Sensitive Interaction with Smart Homes
%X This paper introduces a system for gesture based interaction with smart
environments. The framework we present connects gesture recognition results with
control commands for appliances in a smart home that are accessed through a middleware
based on the ISO 24752 standard URC (Universal Remote Console). Gesture
recognition is realized by applying three dimensional acceleration sensor information
of the WiiMote from Nintendo. This information is trained to a toolkit for
gesture recognition that implements machine learning algorithms well known from
speech recognition. Our study focuses on two interaction concepts with the aim to
exploit the context and special home scenarios. This serves to reduce the number of
gestures while in parallel retaining the control complexity on a high level. A user
test, also with older persons, compares both concepts and evaluates their efficiency
by observing the response times and the subjective impressions of the test persons.
@inproceedings{neßelrath2011gesture,
abstract = {This paper introduces a system for gesture based interaction with smart
environments. The framework we present connects gesture recognition results with
control commands for appliances in a smart home that are accessed through a middleware
based on the ISO 24752 standard URC (Universal Remote Console). Gesture
recognition is realized by applying three dimensional acceleration sensor information
of the WiiMote from Nintendo. This information is trained to a toolkit for
gesture recognition that implements machine learning algorithms well known from
speech recognition. Our study focuses on two interaction concepts with the aim to
exploit the context and special home scenarios. This serves to reduce the number of
gestures while in parallel retaining the control complexity on a high level. A user
test, also with older persons, compares both concepts and evaluates their efficiency
by observing the response times and the subjective impressions of the test persons.},
added-at = {2011-01-28T13:01:07.000+0100},
author = {Neßelrath, Robert and Lu, Chensheng and Schulz, Christian H. and Frey, Jochen and Alexandersson, Jan},
biburl = {https://www.bibsonomy.org/bibtex/272cc67eb7a0bf07d1db7f76254407fce/rnesselrath},
booktitle = {Ambient Assisted Living, 4. AAL-Kongress 2011, Berlin, Germany, January 25-26, 2011},
editor = {Wichert, Reiner and Eberhardt, Birgid},
interhash = {0350410ebdca241ed57fc3fbb9092468},
intrahash = {72cc67eb7a0bf07d1db7f76254407fce},
keywords = {classification cognitive disabilities gesture multimodal myown},
month = {January},
organization = {VDE},
pages = {209--219},
publisher = {Springer},
series = {Advanced Technologies and Societal Change},
timestamp = {2013-05-08T17:35:41.000+0200},
title = {A Gesture Based System for Context-Sensitive Interaction with Smart Homes},
year = 2011
}