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Found 7 papers, 0 papers with code
Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment
Methods: We conduct the largest study, to the best of our knowledge, for basic surgical skills assessment on a dataset that contained video and accelerometer data for suturing and knot-tying tasks.
Discovering Picturesque Highlights from Egocentric Vacation Videos
We present an approach for identifying picturesque highlights from large amounts of egocentric video data.
Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition
We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori.
Egocentric Field-of-View Localization Using First-Person Point-of-View Devices
We present a technique that uses images, videos and sensor data taken from first-person point-of-view devices to perform egocentric field-of-view (FOV) localization.
Leveraging Context to Support Automated Food Recognition in Restaurants
The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat.
Predicting Daily Activities From Egocentric Images Using Deep Learning
We collected a dataset of 40, 103 egocentric images over a 6 month period with 19 activity classes and demonstrate the benefit of state-of-the-art deep learning techniques for learning and predicting daily activities.
Face Expression Recognition and Analysis: The State of the Art
Notes have also been presented on emotions, expressions and facial features, discussion on the six prototypic expressions and the recent studies on expression classifiers.
