Kat Sullivan – ITP Spring Show 2016 /shows/spring2016/ Wed, 24 Aug 2016 16:38:19 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.5 Parsing our Silent Language /shows/spring2016/parsing-our-silent-language/ Tue, 10 May 2016 21:27:58 +0000 https://itp.nyu.edu/shows/spring2016/parsing-our-silent-language/ Continue reading "Parsing our Silent Language"

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Kat Sullivan

Parsing our Silent Language is a computer program that parses body language in real time utilizing machine learning and skeletal tracking.

https://itp.nyu.edu/thesis2016/project/kat-sullivan

Description

Parsing the Silent Language is software that analyzes nonverbal language using a Kinect and the C++ framework, Cinder. Coming from a movement background, I was curious why sentiment analysis placed all emphasis on our words when our body language can contradict or add depth to our words. I started this process by first manually, and then algorithmically, categorizing my own body language. However, I was inadvertently programming my own movement tendencies and as a result, the algorithms became biased to my own body. To address the issue, I enlisted the help of several graduate acting students and recorded their skeletal data while they acted out various emotions. I then used this data to train a classifier using machine learning, which now analyzes body language in real time.

Classes

Thesis

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