Multi-scale entropy analysis of dominance in social creative activities

Our research focused on ensemble musical performance, an ideal test-bed for the development of models and techniques for measuring creative social interaction in an ecologically valid framework. Starting from expressive behavioral data of a string quartet, this paper addresses the application of Multi-Scale Entropy method to investigate dominance.

[1]  Isabella Poggi,et al.  Gestures in performance , 2009 .

[2]  Jane W. Davidson,et al.  Bodily communication in musical performance , 2005 .

[3]  Elaine King,et al.  The roles of student musicians in quartet rehearsals , 2006 .

[4]  T. Schreiber,et al.  Surrogate time series , 1999, chao-dyn/9909037.

[5]  Maja Pantic,et al.  Visual and multimodal analysis of human spontaneous behaviour: Introduction to the Special Issue , 2009, Image Vis. Comput..

[6]  Maja Pantic,et al.  Social signal processing: Survey of an emerging domain , 2009, Image Vis. Comput..

[7]  Mubarak Shah,et al.  Detecting group activities using rigidity of formation , 2005, MULTIMEDIA '05.

[8]  Jacob Cohen.  Statistical Power Analysis , 1992 .

[9]  C. Peng,et al.  Noise and poise: Enhancement of postural complexity in the elderly with a stochastic-resonance–based therapy , 2007, Europhysics letters.

[10]  Wenji Mao,et al.  Social Computing: From Social Informatics to Social Intelligence , 2007, IEEE Intell. Syst..

[11]  H. Ohmori,et al.  Recursive Sample-Entropy method and its application for complexity observation of earth current , 2008, 2008 International Conference on Control, Automation and Systems.

[12]  Madalena Costa,et al.  Multiscale entropy analysis of biological signals. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  J. Gibbons,et al.  Nonparametric statistics : an introduction , 1993 .

[14]  Weiting Chen,et al.  Measuring complexity using FuzzyEn, ApEn, and SampEn. , 2009, Medical engineering & physics.

[15]  Antonio Camurri,et al.  Non-verbal Full Body Emotional and Social Interaction: A Case Study on Multimedia Systems for Active Music Listening , 2009, INTETAIN.

[16]  Daniel Gatica-Perez,et al.  Automatic nonverbal analysis of social interaction in small groups: A review , 2009, Image Vis. Comput..

[17]  Frédéric Bouchara,et al.  On the use of sample entropy to analyze human postural sway data. , 2009, Medical engineering & physics.

[18]  Jean-Marc Odobez,et al.  Using audio and video features to classify the most dominant person in a group meeting , 2007, ACM Multimedia.

[19]  Elisabeth André,et al.  Four-Channel Biosignal Analysis and Feature Extraction for Automatic Emotion Recognition , 2008, BIOSTEC.

[20]  Antonio Camurri,et al.  A System for Real-Time Multimodal Analysis of Nonverbal Affective Social Interaction in User-Centric Media , 2010, IEEE Transactions on Multimedia.

[21]  M. Leman,et al.  Musical gestures : sound, movement, and meaning , 2010 .

[22]  A. Vinciarelli,et al.  Capturing order in social interactions [Social Sciences] , 2009, IEEE Signal Processing Magazine.

[23]  M. Aldenderfer,et al.  Cluster Analysis. Sage University Paper Series On Quantitative Applications in the Social Sciences 07-044 , 1984 .

[24]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[25]  Antonio Camurri,et al.  Emotional entrainment in music performance , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.