Location Aware Resource Management in Smart Homes
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
LANDMARC: Indoor Location Sensing Using Active RFID
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Activity Recognition using Visual Tracking and RFID
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Battery-free Wireless Identification and Sensing
IEEE Pervasive Computing
RFID-based techniques for human-activity detection
Communications of the ACM - Special issue: RFID
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distance measures for biological sequences: Some recent approaches
International Journal of Approximate Reasoning
Unsupervised activity recognition using automatically mined common sense
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Common sense based joint training of human activity recognizers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Location sensing and privacy in a context-aware computing environment
IEEE Wireless Communications
The role of prediction algorithms in the MavHome smart home architecture
IEEE Wireless Communications
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
Elderly activities recognition and classification for applications in assisted living
Expert Systems with Applications: An International Journal
Inferring ECA-based rules for ambient intelligence using evolutionary feature extraction
Journal of Ambient Intelligence and Smart Environments
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This paper proposes a flexible sequence alignment approach for pattern mining and matching in the recognition of human activities. During pattern mining, the proposed sequence alignment algorithm is invoked to extract out the representative patterns which denote specific activities of a person from the training patterns. It features high performance and robustness on pattern diversity. Besides, the algorithm evaluates the appearance probability of each pattern as weight and allows adapting pattern length to various human activities. Both of them are able to improve the accuracy of activity recognition. In pattern matching, the proposed algorithm adopts a dynamic programming based strategy to evaluate the correlation degree between each representative activity pattern and the observed activity sequence. It can avoid the trouble on segmenting the observed sequence. Moreover, we are able to obtain recognition results continuously. Besides, the proposed matching algorithm favors recognition of concurrent human activities with parallel matching. The experimental result confirms the high accuracy of human activity recognition by the proposed approach.