Title :
Parameterizing interpersonal behaviour with Laban movement analysis — A Bayesian approach
Author :
Roudposhti, Kamrad Khoshhal ; Santos, Luís ; Aliakbarpour, Hadi ; Dias, Jorge
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Coimbra, Coimbra, Portugal
Abstract :
In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA), proposed by Rudolph Laban [11], to characterize human non-verbal communication. In interpersonal communication, body motion carries a lot of meaningful information, useful to analyse group dynamic behaviors in a wide range of social scenarios (e.g. behaviour analysis of human interpersonal activities and surveillance system). Taking the advantage of interpretation of social signals defined by Alex Pentland [19], and the descriptive body movement analysis proposed by Laban, we identified characteristics allowing both works to complement each other. To explore in group dynamics, we attempt to show the existent connections between Pentland´s descriptions for Interpersonal Behaviours (IBs), and LMA parameters for human body part motions. Those relations are the keys to characterize the interpersonal communication. Given the uncertainty of the phenomenon, Bayesian´s methodology is applied. The results present LMA parameters as reliable indicators for IBs, allowing us to generalize the model.
Keywords :
behavioural sciences; belief networks; image motion analysis; social sciences; Bayesian approach; LMA parameters; Laban movement analysis; body movement analysis; group dynamic behavior analysis; human body part motions; human interactive behaviour parameterization; human nonverbal communication characterization; interpersonal behaviour parameterization; interpersonal communication; model taxonomy; probabilistic model; social scenarios; social signal interpretation; Analytical models; Bayesian methods; Context; Dynamics; Histograms; Humans; Mathematical model;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-1611-8
Electronic_ISBN :
2160-7508
DOI :
10.1109/CVPRW.2012.6239349