A fuzzy modeling approach to decision fusion under uncertainty
Fuzzy Sets and Systems
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Detection of eating and drinking arm gestures using inertial body-worn sensors
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Similarity-based analysis for large networks of ultra-low resolution sensors
Pattern Recognition
Power and accuracy trade-offs in sound-based context recognition systems
Pervasive and Mobile Computing
Self-organising object networks using context zones for distributed activity recognition
Proceedings of the ICST 2nd international conference on Body area networks
Recognition of user activity sequences using distributed event detection
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
D-FLER: a distributed fuzzy logic engine for rule-based wireless sensor networks
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
The "Inverse hollywood problem": from video to scripts and storyboards via causal analysis
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links
IEEE Transactions on Signal Processing
Decentralized enterprise systems: a multiplatform wireless sensor network approach
IEEE Wireless Communications
Distributed fault-tolerant classification in wireless sensor networks
IEEE Journal on Selected Areas in Communications
A mining technique using n-grams and motion transcripts for body sensor network data repository
WH '10 Wireless Health 2010
Proceedings of the 2nd Conference on Wireless Health
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Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the regular fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The system achieves an overall recognition performance of 0.81 recall and 0.79 precision with regular fuzzy inference, and 0.85 recall and 0.85 precision when considering temporal order knowledge. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times in the order of 40ms, for the whole recognition chain, and memory overhead in the order of 1.5kB RAM.