Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Communications of the ACM
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
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 and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hands-On RFID: Wireless Wearables for Detecting Use of Objects
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Machine Learning
Methods for domain-independent information extraction from the web: an experimental comparison
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Common sense data acquisition for indoor mobile robots
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Unsupervised activity recognition using automatically mined common sense
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Book reviews: Knowledge representation and commonsense reasoning: Reviews of four books
Artificial Intelligence
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
On using existing time-use study data for ubiquitous computing applications
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
An interface for targeted collection of common sense knowledge using a mixture model
Proceedings of the 14th international conference on Intelligent user interfaces
An Active Classification System for Context Representation and Acquisition
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Learning large scale common sense models of everyday life
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Structure learning on large scale common sense statistical models of human state
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
Data & Knowledge Engineering
Self-supervised mining of human activity from CGM
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Putting people's common sense into knowledge bases of household robots
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Assurance-oriented activity recognition
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Modeling human activity semantics for improved recognition performance
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Probabilistic recognition of complex event
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Self-supervised capturing of users' activities from weblogs
International Journal of Intelligent Information and Database Systems
Unsupervised recognition of ADLs
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Automatic assessment of cognitive impairment through electronic observation of object usage
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Real-time crowd labeling for deployable activity recognition
Proceedings of the 2013 conference on Computer supported cooperative work
Affective and cognitive design for mass personalization: status and prospect
Journal of Intelligent Manufacturing
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The use of large quantities of common sense has long been thought to be critical to the automated understanding of the world. To this end, various groups have collected repositories of common sense in machine-readable form. However, efforts to apply these large bodies of knowledge to enable correspondingly large-scale sensor-based understanding of the world have been few. Challenges have included semantic gaps between facts in the repositories and phenomena detected by sensors, fragility of reasoning in the face of noise, incompleteness of repositories, and slowness of reasoning with these large repositories. We show how to address these problems with a combination of novel sensors, probabilistic representation, web-scale information retrieval and approximate reasoning. In particular, we show how to use the 50,000-fact hand-entered Open-Mind Indoor Common Sense database to interpret sensor traces of day-to-day activities with 88% accuracy (which is easy) and 32/53% precision/recall (which is not).