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CHI
2007
ACM
16 years 6 months ago
Understanding and developing models for detecting and differentiating breakpoints during interactive tasks
The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...
Shamsi T. Iqbal, Brian P. Bailey
CHI
2007
ACM
16 years 6 months ago
Dynamic detection of novice vs. skilled use without a task model
If applications were able to detect a user's expertise, then software could automatically adapt to better match expertise. Detecting expertise is difficult because a user...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
MOBISYS
2007
ACM
16 years 6 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
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CVPR
2010
IEEE
16 years 1 months ago
Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection
We propose Recursive Compositional Models (RCMs) for simultaneous multi-view multi-object detection and parsing (e.g. view estimation and determining the positions of the object s...
Leo Zhu, Yuanhao Chen, Antonio Torralba, William F...
ICPR
2010
IEEE
16 years 1 months ago
Exploiting Visual Quasi-Periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector Mach
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...
Steven Cadavid, Mohamed Abdel-Mottaleb