Qualitative Assessment of Ballet Kinematics Algorithm: Case Study in the Glissade Saut de Chat.
Background: Objective assessment of ballet execution remains limited by the subjective nature of expert evaluations, which often integrate stylistic interpretation and artistic expression. Objective: This study introduces the Qualitative Assessment of Ballet Kinematics (QABAK), a computational frame...
| Publicado en: | Journal of Dance Medicine & Science Vol. 30; no. 2; pp. 140 - 151 |
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| Autor principal: | |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193059444&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193059444 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1089313X GOO jtl: Journal of Dance Medicine & Science issn: 1089313X maglogo: N pubinfo: dt: Jun2026 vid: 30 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 193059444 185464363 193059444 193059444 10.1177/1089313X251338367 193059444 ppf: 140 ppct: 11 formats: tig: atl: Qualitative Assessment of Ballet Kinematics Algorithm: Case Study in the Glissade Saut de Chat. aug: au: Benchetrit, Assaf affil: University of New Hampshire, Durham, NH, USA sug: subj: Performing Artists Ballet Physiology Jumping Evaluation Athletic Performance Evaluation Kinematics Evaluation Algorithms Conceptual Framework Models, Theoretical Human Male Female Adult Middle Age Qualitative Studies Pilot Studies Case Studies Comparative Studies Descriptive Statistics Data Analysis Software Motion Capture Anthropometry Questionnaires Models, Structural Imaging, Three-Dimensional Professional Competence Movement Biomechanics Balance, Postural Task Performance and Analysis Motion Analysis Systems Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Background: Objective assessment of ballet execution remains limited by the subjective nature of expert evaluations, which often integrate stylistic interpretation and artistic expression. Objective: This study introduces the Qualitative Assessment of Ballet Kinematics (QABAK), a computational framework that models ballet jumps within a low-dimensional biomechanical space. QABAK evaluates execution quality using four targeted parameters: Recovery Effectiveness (RE), Slap Coordination (SC), Grand Battement (GB), and Ballon Efficiency (BE). Methods: Motion capture data from professional dancers performing the Glissade Saut de Chat (GSDC) were analyzed using QABAK. Computed scores were compared to expert assessments based on the Performance Competence Evaluation Measure (PCEM). Results: QABAK rankings demonstrated strong alignment with expert evaluations while exhibiting reduced score variability. Each parameter captured distinct biomechanical features contributing to jump quality. Conclusion: QABAK offers a structured, repeatable method for evaluating ballet movement that may complement expert judgment while reducing subjective variance. Its use of biomechanical decomposition within a simplified execution space highlights a promising approach to performance analysis in dance. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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