C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Human motion analysis: a review
Computer Vision and Image Understanding
The anatomy of a context-aware application
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Semi-Naive Bayesian Classifier
EWSL '91 Proceedings of the European Working Session on Machine Learning
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
Advances in Neural Information Processing Systems 5, [NIPS Conference]
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
CoBuild '99 Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Facial expression recognition using a dynamic model and motion energy
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
The wearable remembrance agent: a system for augmented memory
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Unsupervised clustering of ambulatory audio and video
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Trajectory based assessment of coordinated human activity
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Automatic collection, analysis, access, and archiving of individual and group psycho-social behavior
Proceedings of the 3rd ACM workshop on Continuous archival and retrival of personal experences
Detecting social interactions of the elderly in a nursing home environment
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Group interaction analysis in dynamic context
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
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Social interaction plays an important role in our daily lives. It is one of the most important indicators of physical or mental diseases of aging patients. In this paper, we present a Wizard of Oz study on the feasibility of detecting social interaction with sensors in skilled nursing facilities. Our study explores statistical models that can be constructed to monitor and analyze social interactions among aging patients and nurses. We are also interested in identifying sensors that might be most useful in interaction detection; and determining how robustly the detection can be performed with noisy sensors. We simulate a wide range of plausible sensors using human labeling of audio and visual data. Based on these simulated sensors, we build statistical models for both individual sensors and combinations of multiple sensors using various machine learning methods. Comparison experiments are conducted to demonstrate the effectiveness and robustness of the sensors and statistical models for detecting interactions.