Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
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
Wearable Hand Activity Recognition for Event Summarization
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
InSense: Interest-Based Life Logging
IEEE MultiMedia
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Object-Blog System for Environment-Generated Content
IEEE Pervasive Computing
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
ViridiScope: design and implementation of a fine grained power monitoring system for homes
Proceedings of the 11th international conference on Ubiquitous computing
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Human activity recognition using inertial/magnetic sensor units
HBU'10 Proceedings of the First international conference on Human behavior understanding
Personal and Ubiquitous Computing
Supporting the strategies to improve elders' medication compliance by providing ambient aids
Personal and Ubiquitous Computing
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
GasSense: appliance-level, single-point sensing of gas activity in the home
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
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Activity recognition is a key technology for realizing ambient assisted living applications such as care of the elderly and home automation. This paper proposes a new activity recognition method that employs hand-worn magnetic sensors to recognize a broad range of activities ranging from simple activities that involve hand movements such as walking and running to the use of portable electrical devices such as cell phones and cameras. We sense magnetic fields emitted by electrical devices and the earth with hand-worn sensors, and recognize what a user is doing or which electrical device the user is employing. We frequently use a large number of different electrical devices in our daily lives, and so we can estimate high-level daily activities by recognizing their use. Our approach permits us to recognize a range extending from low-level simple activities to high-level activities that relate to the hands without the need to attach any sensors to the electrical devices.