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| Learning Human Behavior |
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| Smart Car - driver behavior modeling |
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The project is a real-time data acquisition and
playback system and a machine learning --dynamical graphical models--
framework for modeling and recognizing driver maneuvers at a tactical
level, with particular focus on how contextual information affects the
driver's performance. The SmartCar's perceptual input is multi-modal:
four video signals capture the surrounding traffic, the driver's head
position and the driver's viewpoint; and a real-time data acquisition
system records the car's brake, gear, steering wheel angle, speed and
acceleration throttle signals. |
| Wearable Behavior Acquisition |
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A wearable platform is worn that captures regularities in the users
behavior and forms a predictive model of his activity. On board, a
camera tracks the user's face while another gazes at his environment
from the chest area. In addition, a microphone processes his speech as
well as the ambient surrounding audio. Patterns are discovered by
machine learning and permit us to make inferences about long-term human
activity as well as predict short term responses to situations. |
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