Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
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
Unsupervised activity recognition using automatically mined common sense
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Improvement of behavior detection by dynamic threshold
DNCOCO'07 Proceedings of the 9th WSEAS International Conference on Data Networks, Communications, Computers
Modeling interleaved hidden processes
Proceedings of the 25th international conference on Machine learning
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration
Journal of Network and Computer Applications
Gauntlet: a wearable interface for ubiquitous gaming
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Personalizing Threshold Values on Behavior Detection with Collaborative Filtering
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Dynamic threshold determination for stable behavior detection
WSEAS Transactions on Computers
Relational Transformation-based Tagging for Activity Recognition
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Towards an interface for untethered ubiquitous gaming
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
A Hybrid Approach for Recognizing ADLs and Care Activities Using Inertial Sensors and RFID
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
A flexible sequence alignment approach on pattern mining and matching for human activity recognition
Expert Systems with Applications: An International Journal
Joint learning user's activities and profiles from GPS data
Proceedings of the 2009 International Workshop on Location Based Social Networks
Multisensor Fusion for Monitoring Elderly Activities at Home
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Context-aware middleware for pervasive elderly homecare
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Sensor-Based Human Activity Recognition in a Multi-user Scenario
AmI '09 Proceedings of the European Conference on Ambient Intelligence
Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
Activity recognition in the home using a hierarchal framework with object usage data
Journal of Ambient Intelligence and Smart Environments
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
Data & Knowledge Engineering
Behavior detection based on touched objects with dynamic threshold determination model
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Scalable recognition of daily activities with wearable sensors
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Tracking your steps on the track: body sensor recordings of a controlled walking experiment
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Preprocessing techniques for context recognition from accelerometer data
Personal and Ubiquitous Computing
COSAR: hybrid reasoning for context-aware activity recognition
Personal and Ubiquitous Computing
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
OWL 2 modeling and reasoning with complex human activities
Pervasive and Mobile Computing
Activity inference for rfid-based assisted living applications
Journal of Mobile Multimedia
Building a real-world body area sensor network system
Proceedings of the Second Asia-Pacific Symposium on Internetware
Enhancing activity recognition in smart homes using feature induction
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Self-supervised capturing of users' activities from weblogs
International Journal of Intelligent Information and Database Systems
Activity recognition in the home using a hierarchal framework with object usage data
Journal of Ambient Intelligence and Smart Environments
Relational Transformation-based Tagging for Activity Recognition
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
A study on automatic recognition of object use exploiting motion correlation of wireless sensors
Personal and Ubiquitous Computing
NuActiv: recognizing unseen new activities using semantic attribute-based learning
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Complex activity recognition using context-driven activity theory and activity signatures
ACM Transactions on Computer-Human Interaction (TOCHI)
A probabilistic ontological framework for the recognition of multilevel human activities
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
Common-sense reasoning for human action recognition
Pattern Recognition Letters
Activity recognition on streaming sensor data
Pervasive and Mobile Computing
Recognizing object manipulation activities using depth and visual cues
Journal of Visual Communication and Image Representation
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Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however, to understand how an object is being used, i.e., the action performed on it. We show how to add personal sensor data (e.g., accelerometers) to obtain this detail, with little labeling and feature selection overhead. By synchronizing the personal sensor data with object-use data, it is possible to use easily specified commonsense models to minimize labeling overhead. Further, combining a generative common sense model of activity with a discriminative model of actions can automate feature selection. On observed activity data, automatically trained action classifiers give 40/85% precision/recall on 10 actions. Adding actions to pure object-use improves precision/recall from 76/85% to 81/90% over 12 activities.