C4.5: programs for machine learning
C4.5: programs for machine learning
Human Activity Recognition Using Multidimensional Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Typing Patterns: A Key to User Identification
IEEE Security and Privacy
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Face Recognition with Image Sets Using Manifold Density Divergence
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
RFID-based techniques for human-activity detection
Communications of the ACM - Special issue: RFID
Hands-On RFID: Wireless Wearables for Detecting Use of Objects
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Toward scalable activity recognition for sensor networks
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Real world activity recognition with multiple goals
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Inferring Identity Using Accelerometers in Television Remote Controls
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
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
Identifying the activities supported by locations with community-authored content
Proceedings of the 12th ACM international conference on Ubiquitous computing
Gestalt: integrated support for implementation and analysis in machine learning
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
GPARS: a general-purpose activity recognition system
Applied Intelligence
ARHMAM: an activity recognition system based on hidden Markov minded activity model
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Automatic assessment of cognitive impairment through electronic observation of object usage
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
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We describe an experiment in using sensor-based data to identify individuals as they perform a simple activity of daily living (making coffee). The goal is to determine whether people have regular and recognizable patterns of interaction with objects as they perform such activities. We describe the use of a machine-learning algorithm to induce decision-trees that classify interaction patterns according to the subject who exhibited them; we consider which features of the sensor data have the most effect on classification accuracy; and we consider ways of reducing the computational complexity introduced by the most important feature type. Although our experiment is preliminary, the results are encouraging: we are able to do identification with an overall accuracy rate of 97%, including correctly recognizing each individual in at least 9 of 10 trials.