Analyzing multidimensional movement interaction with generalized cross-wavelet transform
Toiviainen, P., & Hartmann, M. (2022). Analyzing multidimensional movement interaction with generalized cross-wavelet transform. Human Movement Science, 81, Article 102894. https://doi.org/10.1016/j.humov.2021.102894
Julkaistu sarjassa
Human Movement SciencePäivämäärä
2022Oppiaine
Secure Communications Engineering and Signal ProcessingMusiikkitiedeMusic, Mind and TechnologyTekniikkaSecure Communications Engineering and Signal ProcessingMusicologyMusic, Mind and TechnologyEngineeringTekijänoikeudet
© 2021 The Authors. Published by Elsevier B.V.
Humans are able to synchronize with musical events whilst coordinating their movements with others. Interpersonal entrainment phenomena, such as dance, involve multiple body parts and movement directions. Along with being multidimensional, dance movement interaction is plurifrequential, since it can occur at different frequencies simultaneously. Moreover, it is prone to nonstationarity, due to, for instance, displacements around the dance floor. Various methodological approaches have been adopted for the study of human entrainment, but only spectrogram-based techniques allow for an integral analysis thereof. This article proposes an alternative approach based upon the cross-wavelet transform, a state-of-the-art technique for nonstationary and plurifrequential analysis of univariate interaction. The presented approach generalizes the cross-wavelet transform to multidimensional signals. It allows to identify, for different frequencies of movement, estimates of interaction and leader-follower dynamics across body parts and movement directions. Further, the generalized cross-wavelet transform can be used to quantify the frequency-wise contribution of individual body parts and movement directions to overall movement synchrony. Since both in- and anti-phase relationships are dominant modes of coordination, the proposed implementation ignores whether movements are identical or opposite in phase. The article provides a thorough mathematical description of the method and includes proofs of its invariance under translation, rotation, and reflection. Finally, its properties and performance are illustrated via four examples using simulated data and behavioral data collected through a mirror game task and a free dance movement task.
...
Julkaisija
ElsevierISSN Hae Julkaisufoorumista
0167-9457Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/101914764
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SA; Tutkijatohtori, SALisätietoja rahoituksesta
This work was supported by funding from the Academy of Finland (project numbers 332331 and 314651).Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Postural and Gestural Synchronization, Sequential Imitation, and Mirroring Predict Perceived Coupling of Dancing Dyads
Hartmann, Martin; Carlson, Emily; Mavrolampados, Anastasios; Burger, Birgitta; Toiviainen, Petri (Wiley-Blackwell, 2023)Body movement is a primary nonverbal communication channel in humans. Coordinated social behaviors, such as dancing together, encourage multifarious rhythmic and interpersonally coupled movements from which observers can ... -
MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement interaction with generalized cross-wavelet transform" (Toiviainen & Hartmann, 2021)
Hartman, Martin; Toiviainen, Petri (University of Jyväskylä, 2021-04-13)MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement interaction with generalized cross-wavelet transform" (Toiviainen & Hartmann, ... -
Turning Heads on the Dance Floor : Synchrony and Social Interaction Using a Silent Disco Paradigm
Bamford, Joshua S.; Burger, Birgitta; Toiviainen, Petri (SAGE Publications, 2023)Music and dance appear to have a social bonding effect, which some have theorized is part of their ultimate evolutionary function. Prior research has also found a social bonding effect of synchronized movement, and it is ... -
Empathy, Entrainment, and Perceived Interaction in Complex Dyadic Dance Movement
Carlson, Emily; Burger, Birgitta; Toiviainen, Petri (University of California Press, 2019)THE CURRENT STUDY EXPLORES HOW INDIVIDUALS’ tendency to empathize with others (trait empathy) modulates interaction and social entrainment in dyadic dance in a free movement context using perceptual and computationally ... -
Embodied Meter Revisited : Entrainment, Musical Content, and Genre in Music-Induced Movement
Toiviainen, Petri; Carlson, Emily (University of California Press, 2022)Previous research has shown that humans tend to embody musical meter at multiple beat levels during spontaneous dance. This work that been based on identifying typical periodic movement patterns, or eigenmovements, and has ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.