Mediacups: experience with design and use of computer-augmented everyday artefacts
Computer Networks: The International Journal of Computer and Telecommunications Networking - pervasive computing
Recognition of Group Activities using Dynamic Probabilistic Networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Contiki - A Lightweight and Flexible Operating System for Tiny Networked Sensors
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Power and accuracy trade-offs in sound-based context recognition systems
Pervasive and Mobile Computing
Using the influence model to recognize functional roles in meetings
Proceedings of the 9th international conference on Multimodal interfaces
Daily Routine Recognition through Activity Spotting
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Decentralized Detection of Group Formations from Wearable Acceleration Sensors
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
International Journal of Computer Vision
Probabilistic models for concurrent chatting activity recognition
ACM Transactions on Intelligent Systems and Technology (TIST)
Group Level Activity Recognition in Crowded Environments across Multiple Cameras
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
Recognizing multi-user activities using wearable sensors in a smart home
Pervasive and Mobile Computing
An experiment in hierarchical recognition of group activities using wearable sensors
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Global peer-to-peer classification in mobile ad-hoc networks: a requirements analysis
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Investigation of Context Prediction Accuracy for Different Context Abstraction Levels
IEEE Transactions on Mobile Computing
Active badges and personal interactive computing objects
IEEE Transactions on Consumer Electronics
Energy-Efficient Activity Recognition Using Prediction
ISWC '12 Proceedings of the 2012 16th Annual International Symposium on Wearable Computers (ISWC)
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Activity recognition for creatures of habit
Personal and Ubiquitous Computing
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In this paper, we present a novel approach for distributed recognition of collaborative group activities using only mobile devices and their sensors. Information must be exchanged between nodes for effective group activity recognition (GAR). Here we investigated the effects of exchanging that information at different data abstraction levels with respect to recognition rates, power consumption, and wireless communication volumes. The goal is to identify the tradeoff between energy consumption and recognition accuracy for GAR problems. For the given set of activities, using locally extracted features for global, group activity recognition is advantageous as energy consumption was reduced by 10 % without experiencing any significant loss in recognition rates. Using locally classified single-user activities, however, caused a 47 % loss in recognition capabilities, making this approach unattractive. Local clustering proved to be effective for recognizing group activities, by greatly reducing power consumption while incurring a loss of only 2.8 % in recognition accuracy.