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L'ÉTS vous donne rendez-vous à sa journée portes ouvertes qui aura lieu sur son campus à l'automne et à l'hiver : Samedi 18 novembre 2023 Samedi 17 février 2024 Le dépôt de votre demande d'admission à un programme de baccalauréat ou au cheminement universitaire en technologie sera gratuit si vous étudiez ou détenez un diplôme collégial d'un établissement québécois.

Biomechanical Characterization of Dance Movement

Targeted study program
Masters with thesis
Masters with project
Concentration en technologies de la santé
Research domains
Health Technologies
Sensors, Networks and Connectivity
Financing
Offered by the professors based on the candidate's merit.
Other informations

This project is carried out in collaboration with Professor Hélène Duval from the Dance Department at UQAM.

Applications must be submitted via the Application Form.

In the artistic field of dance, choreographic movement is often analyzed using a subjective method called MOA: Movement Observation-Analysis, inspired by the Laban method developed in the 1930s. This method was designed to describe and report observations on choreography and bodily movement in general. The MOA method comprises three domains: the haptic background, the expressive dynamic background, and the phoric background. These domains address three main themes: intention, engagement, and coordination. Over time, this method has been applied outside the context of dance, notably to observe surgeons' manipulations, children's gestures at different stages of development, and conductors' movements. Thus, MOA offers potential for a better understanding of movement characteristics that are not purely functional and could facilitate learning in certain trades and professions.

The main objective of this project is to develop biomechanical indicators for the kinematic modeling of movement (quaternion, segmental displacement) and for the dynamic modeling of movement (energy, force, joint moment, and momentum). This characterization will be carried out on three sequences recorded with the Xsens Awinda full-body motion capture system, based on inertial sensors.

Required knowledge

We are looking for a highly motivated student with the following qualifications:

  • Strong academic background in biomedical engineering, mechanical engineering, applied mathematics, or a related field.
  • Proficiency in programming languages such as Python or MATLAB.