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A low-cost and open-source approach to in-situ 2D DIC applications. Digital Image Correlation (DIC) is a non-contact optical technique that can be used to monitor the shape deformation and motion of rigid objects. Here we present RealPi2dDIC, a Python based open source real time DIC software, which provides a solution to the real time DIC ...
In this project, we proposed using Artificial Intelligence (AI) methods to fully auto-mate the annotation process involved in Laban analysis by training and testing different machine learning algorithms on existing video datasets of human motion, focusing on performative movement.
14 sie 2015 · To enable the application of Laban notation in computational movement analysis, measurable physical correlates of Effort and Shape components need to be identified.
In this article, we’ll take a closer look at LDA, and implement our first topic model using the sklearn implementation in python 2.7. Theoretical Overview. LDA is a generative probabilistic model that assumes each topic is a mixture over an underlying set of words, and each document is a mixture of over a set of topic probabilities.
The qualitative description and observation of movement based on Laban’s work is affectionately known as BESS (Body, Effort, Shape, Space) and differs in some ways from the British based Laban work. Here we are using what we will call LMA (Laban Movement Analysis) to differentiate it from the Laban work in the UK.
5 lis 2019 · In this paper, we aim to generate Labanotation scores based on the motion-captured data obtained from real-world dance performances.
Laban Movement Analysis is a theoretical and experiential system for the observation, description, prescription, performance, and interpretation of human movement. ―LMA provides a rich overview of the scope of movement possibilities.
