Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Recognizing context for annotating a live life recording
Personal and Ubiquitous Computing - Memory and Sharing of Experiences
A gaze-based study for investigating the perception of visual realism in simulated scenes
ACM Transactions on Applied Perception (TAP)
Rapid Prototyping of Activity Recognition Applications
IEEE Pervasive Computing
Discovery of activity patterns using topic models
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Automated eye-movement protocol analysis
Human-Computer Interaction
Real-world vision: Selective perception and task
ACM Transactions on Applied Perception (TAP)
Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments
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
Evaluating performance in continuous context recognition using event-driven error characterisation
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
KIBITZER: a wearable system for eye-gaze-based mobile urban exploration
Proceedings of the 1st Augmented Human International Conference
EyePhone: activating mobile phones with your eyes
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Visualisation of geo-tagged pictures in the web
International Journal of Web Engineering and Technology
Visual task inference using hidden Markov models
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
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In this work we investigate eye movement analysis as a new modality for recognising human activity. We devise 90 different features based on the main eye movement characteristics: saccades, fixations and blinks. The features are derived from eye movement data recorded using a wearable electrooculographic (EOG) system. We describe a recognition methodology that combines minimum redundancy maximum relevance feature selection (mRMR) with a support vector machine (SVM) classifier. We validate the method in an eight participant study in an office environment using five activity classes: copying a text, reading a printed paper, taking hand-written notes, watching a video and browsing the web. In addition, we include periods with no specific activity. Using a person-independent (leave-one-out) training scheme, we obtain an average precision of 76.1% and recall of 70.5% over all classes and participants. We discuss the most relevant features and show that eye movement analysis is a rich and thus promising modality for activity recognition.