In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.
%0 Book Section
%1 GrossePuppendahlBencheaEtAl13DAPI
%A Grosse-Puppendahl, Tobias
%A Benchea, Sebastian
%A Kamieth, Felix
%A Braun, Andreas
%A Schuster, Christian
%B Distributed, Ambient, and Pervasive Interactions: Proc.\ of the First International Conference (DAPI 2013), Las Vegas, NV, USA
%C Heidelberg
%D 2013
%E Streitz, Norbert
%E Stephanidis, Constantine
%I Springer
%K 01624 springer paper embedded ai user interaction interface assist action recognition zzz.mmi
%N 8028
%P 115--121
%R 10.1007/978-3-642-39351-8_13
%T Unobtrusive Recognition of Working Situations
%X In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.
%@ 978-3-642-39350-1
@incollection{GrossePuppendahlBencheaEtAl13DAPI,
abstract = {In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.},
added-at = {2017-05-05T16:58:39.000+0200},
address = {Heidelberg},
author = {Grosse-Puppendahl, Tobias and Benchea, Sebastian and Kamieth, Felix and Braun, Andreas and Schuster, Christian},
biburl = {https://www.bibsonomy.org/bibtex/2da9867085b0d7c316628b6d51c4f690f/flint63},
booktitle = {Distributed, Ambient, and Pervasive Interactions: Proc.\ of the First International Conference (DAPI 2013), Las Vegas, NV, USA},
crossref = {DAPI2013},
doi = {10.1007/978-3-642-39351-8_13},
editor = {Streitz, Norbert and Stephanidis, Constantine},
file = {SpringerLink:2013/GrossePuppendahlBencheaEtAl13DAPI.pdf:PDF},
groups = {public},
interhash = {b9f07d74957ec98d6a7804765bf17883},
intrahash = {da9867085b0d7c316628b6d51c4f690f},
isbn = {978-3-642-39350-1},
issn = {0302-9743},
keywords = {01624 springer paper embedded ai user interaction interface assist action recognition zzz.mmi},
number = 8028,
pages = {115--121},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T17:39:28.000+0200},
title = {Unobtrusive Recognition of Working Situations},
username = {flint63},
year = 2013
}