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Combining Low and Mid-Level Gaze Features for Desktop Activity Recognition.
Namrata Srivastava
Joshua Newn
Eduardo Velloso
Published in:
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (2018)
Keyphrases
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activity recognition
mid level
action recognition
low level
event detection
high level
human activities
feature space
feature vectors
feature extraction
low level features
image features
human actions
high dimensional
active learning
computer vision
eye tracking
visual concepts
perceptual grouping