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Visualization and Analysis for Multimodal Presentation (VAMP)
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big_apple_py
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pygotham_2016
--room Room_CR7 11135 --force
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Marks
Author(s):
Ben Leong
Location
Room CR7
Date
jul Sun 17
Days Raw Files
Start
16:00
First Raw Start
error-in-template
Duration
00:25:00
Offset
None
End
16:25
Last Raw End
Chapters
Total cuts_time
None min.
https://2016.pygotham.org/talks/370/visualization-and-analysis-for-multimodal-presentation-vamp
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Visualization_and_Analysis_for_Multimodal_Presentation_VAMP.json
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Description:
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VAMP is a Python-based toolkit consisting of a set of scripts that operate on set of synchronized video, audio and skeletal data, and transform them into feature contours for visualization and analysis. While the core function emphasized in this talk is the application of a recursive parser to extract expressive body language features using skeletal data from a Kinect sensor, VAMP is designed to be a general toolkit for the development and standardization of algorithms for extracting multimodal features and creating automated scoring models for multimodal educational assessments, e.g. public speaking in a classroom.
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