Robust Real-Time Face Detection
International Journal of Computer Vision
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
What did you do today?: discovering daily routines from large-scale mobile data
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Fuzzy clustering of human activity patterns
Fuzzy Sets and Systems
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In this paper we draw a methodological connection between human routine classification and the sequence alignment problem in bioinformatics. We first observe that human days exhibit important time shifts and therefore align them for comparison prior to classification. Our technique is evaluated on bimodal data including GSM and Bluetooth information collected on mobile phones. The introduction of new alignment features is found to significantly improve the accuracy of routine classification.