TY - GEN
T1 - Locomotion@ Location: When the Rubber hits the Road
AU - Hölzl, Gerold
AU - Kurz, Marc
AU - Halbmayer, Peter
AU - Erhart, Jürgen
AU - Matscheko, Michael
AU - Ferscha, Alois
AU - Eisl, Susanne
AU - Kaltenleithner, Johann
PY - 2012
Y1 - 2012
N2 - Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with different sensor configurations. This paper presents the utilization of locomotion and location information inferred from sensor-readings in a real-world setting by applying a system that operates in an opportunistic and unobtrusive way. We let the rubber hit the road by exploiting locomotion and (in-door) location information in private households to optimize the energy consumption in terms of autonomous and implicit control of electronic appliances. By using onbody and environmental sensor devices, that are not presumably fixed, thus are accessed in an opportunistic manner, our system is able to safely control devices in terms of implicitly optimizing the energy consumption. We have conducted a field study in 15 households, where we have used the location and locomotion information of the residents to decide with a rule-based background intelligence, which electronic appliances can be safely turned off.
AB - Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with different sensor configurations. This paper presents the utilization of locomotion and location information inferred from sensor-readings in a real-world setting by applying a system that operates in an opportunistic and unobtrusive way. We let the rubber hit the road by exploiting locomotion and (in-door) location information in private households to optimize the energy consumption in terms of autonomous and implicit control of electronic appliances. By using onbody and environmental sensor devices, that are not presumably fixed, thus are accessed in an opportunistic manner, our system is able to safely control devices in terms of implicitly optimizing the energy consumption. We have conducted a field study in 15 households, where we have used the location and locomotion information of the residents to decide with a rule-based background intelligence, which electronic appliances can be safely turned off.
KW - Activity and context recognition
KW - Implicit power management
KW - Opportunistic sensing
UR - http://www.scopus.com/inward/record.url?scp=84867708451&partnerID=8YFLogxK
U2 - 10.1145/2371536.2371549
DO - 10.1145/2371536.2371549
M3 - Conference contribution
SN - 9781450315203
T3 - ICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
SP - 73
EP - 78
BT - ICAC'12 - Proceedings of the 9th ACM International Conference on Autonomic Computing
T2 - The 9th International Conference on Autonomic Computing (ICAC2012)
Y2 - 17 September 2012 through 21 September 2012
ER -