Visiting Researcher
Biography:
Master’s student in Electrical Engineering, specializing in Life Sciences, at the Faculté Polytechnique de Mons, Belgium.
Denis is a musician and engineer with experience in programming, signal processing, and system design, including instrumentation and real-time data communication. He contributed to the Méthastart project (StarTech finalist, 2023) and created TelesimU (2024), an educational simulation tool for digital telecommunications. He also completed an internship at Alstom (2025), focusing on gyroscope and accelerometer bias compensation in an inertial navigation system, integrating the correction model into a Kalman filter.
His current research focuses on modeling the latent comfort state of trombonists from multiple physiological and behavioral signals, combining his technical expertise with his musical experience. For more information, please see his LinkedIn profile.
Research Statement:
My research focuses on measuring and modeling the comfort level of trombonists using both biological (ECG, HRV, galvanic skin response, respiration, eye movements) and non-biological signals (audio, motion capture, inertial sensors). The goal is to model a latent comfort state from multiple data streams, validated with questionnaires and stress indicators.
I investigate factors affecting comfort, such as room reverberation, instrument variations, exercise difficulty, and audience feedback. My approach combines signal processing, sensor data acquisition, and statistical modeling, leveraging my background in electrical engineering and experience as a musician.
The outcomes will provide a framework for monitoring comfort during task performance, with applications in musical training and industrial settings, where a worker could be monitored performing a specific task instead of a musician. This project bridges engineering, neuroscience, and human performance studies.
Research Areas:
Projects
Contacts:
- Email: denis.albrecq@mail.mcgill.ca