Digital family portraits: supporting peace of mind for extended family members
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
A platform for ubiquitous sensor deployment in occupational and domestic environments
Proceedings of the 6th international conference on Information processing in sensor networks
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Object-Blog System for Environment-Generated Content
IEEE Pervasive Computing
Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
ViridiScope: design and implementation of a fine grained power monitoring system for homes
Proceedings of the 11th international conference on Ubiquitous computing
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Your noise is my command: sensing gestures using the body as an antenna
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unsupervised Activity Recognition with User's Physical Characteristics Data
ISWC '11 Proceedings of the 2011 15th Annual International Symposium on Wearable Computers
Recognizing the use of portable electrical devices with hand-worn magnetic sensors
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Object-based activity recognition with heterogeneous sensors on wrist
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Towards automated appliance recognition using an EMF sensor in NILM platforms
Advanced Engineering Informatics
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This paper describes the development of a new finger-ring shaped sensor device with a coil of wire for recognizing the use of handheld electrical devices such as digital cameras, cellphones, electric toothbrushes, and hair dryers by sensing time-varying magnetic fields emitted by the devices. Recently, sensing the usage of home electrical devices has emerged as a promising area for activity recognition studies because we can estimate high-level daily activities by recognizing the use of electrical devices that exist ubiquitously in our daily lives. A feature of our approach is that we can recognize the use of electrical devices that are not connected to the home infrastructure without the need to equip them with sensors. We evaluated the performance of our approach by using sensor data obtained from real houses. We also investigated the portability of training data between different users.