TY - GEN
T1 - Real-life activity recognition
T2 - Joint Workshop on AI Problems and Approaches for Intelligent Environments, AI@IE 2013 and Workshop on Semantic Cities, SemCities 2013 - In Conj. with the 23rd Int. Joint Conf. on Artificial Intelligence, IJCAI 2013
AU - Kunze, Kai
PY - 2013
Y1 - 2013
N2 - How can we extract high level information about human actions and complex real world situations from heterogeneous ensembles of simple, often unreliable sensors embedded in commodity devices? We focus on how to use body-worn devices for activity recognition in general, and how to combine them with infrastructure sensing. We discuss how to combine them with traditional computer vision approaches for a specific high level human activity, namely knowledge acquisition (in particular recognizing reading activities).
AB - How can we extract high level information about human actions and complex real world situations from heterogeneous ensembles of simple, often unreliable sensors embedded in commodity devices? We focus on how to use body-worn devices for activity recognition in general, and how to combine them with infrastructure sensing. We discuss how to combine them with traditional computer vision approaches for a specific high level human activity, namely knowledge acquisition (in particular recognizing reading activities).
KW - activity recognition
KW - reading behavior
KW - robust
UR - http://www.scopus.com/inward/record.url?scp=84891107778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891107778&partnerID=8YFLogxK
U2 - 10.1145/2516911.2516912
DO - 10.1145/2516911.2516912
M3 - Conference contribution
AN - SCOPUS:84891107778
SN - 9781450323468
T3 - ACM International Conference Proceeding Series
SP - 3
BT - Joint Proc. of the Workshop on AI Problems and Approaches for Intelligent Environments, AI@IE 2013 and Workshop on Semantic Cities, SemCities 2013 - In Conj. with the 23rd IJCAI 2013
Y2 - 4 August 2013 through 5 August 2013
ER -