Journal ArticleDOI
Bayesian reasoning for Laban Movement Analysis used in human-machine interaction
TLDR
The implementation of computational Laban Movement Analysis for human-machine interaction using Bayesian reasoning is presented and the application 'social robots' is chosen to demonstrate the feasibility of the solution.Abstract:
We present the implementation of computational Laban Movement Analysis (LMA) for human-machine interaction using Bayesian reasoning. The research field of computational human movement analysis is lacking a general underlying modelling language, i.e., how to map the features into symbols. With such a semantic descriptor, the recognition problem can be posed as a problem to recognise a sequence of symbols taken from an alphabet consisting of motion-entities. LMA has been proven successful in areas where humans are observing other humans' movements. LMA provides a model for observation and description and a notational system (Labanotation). To implement LMA in a computer, we have chosen a Bayesian approach. The framework allows us to model the process, learn the dependencies between features and symbols and to perform online classification using LMA-labels. We have chosen the application 'social robots' to demonstrate the feasibility of our solution.read more
Citations
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Book
Bayesian Programming
TL;DR: Emphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications and encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.
Proceedings ArticleDOI
Designing for movement: evaluating computational models using LMA effort qualities
Diego S. Maranan,Sarah Fdili Alaoui,Thecla Schiphorst,Philippe Pasquier,Pattarawut Subyen,Lyn Bartram +5 more
TL;DR: A prototype of wearable system for the real-time detection and classification of movement quality using acceleration data that applies Laban Movement Analysis (LMA) to recognize Laban Effort qualities from acceleration input using a Machine Learning software that generates classifications in real time.
Book ChapterDOI
A labanotation based ontology for representing dance movement
TL;DR: A Knowledge Based System for describing and storing dances that takes advantage of the expressivity of Description Logics and can search within the ontology based on the steps and movements of dances by writing SPARQL queries.
Journal ArticleDOI
Selection of Accelerometer Location on Bricklayers Using Decision Trees
Liju Joshua,Koshy Varghese +1 more
TL;DR: The results of study show that the location of accelerometer has a significant influence on accuracy and the proposed methodology is effective in selecting accelerometer locations.
Dissertation
Robot-human interface using laban movement analysis inside a bayesian framework
TL;DR: Tese de doutoramento em Engenharia Electrotecnica (Instrumentacao e Controlo) apresentada a Faculdade de Ciencias e Tecnologia da Universidade de Coimbra as mentioned in this paper
References
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