“Sensor data fusion for human stress assessment”
Activation of the Autonomic Nervous System is a well-known response from the Body to Threat and Challenge. This leads to moderate changes in different physiological variables (e.g. heart rate, electrodermal activity, etc.) that can be monitored non-invasively. This PhD thesis is about characterizing them in ambulatory conditions. Methods and algorithms will thus be proposed in order to assess different stress levels on healthy individuals, in a real-life context. This is a transdisciplinary research project that covers Signal Processing and Machine Learning, as well as Cognitive Sciences.
2016-2019 | PhD studies (CEA grant)
Ecole Doctorale d’Electronique, Electrotechnique, Automatique et Traitement du Signal (ED-EEATS)
Supervised by Christelle Godin (CEA), Sylvie Charbonnier (GIPSA), Aurélie Campagne (LPNC).
2013-2016 | Master’s Degree in Engineering Science
Grenoble INP - Phelma / Grenoble Institute of Technology
Biomedical Engineering & Cognitive Sciences
Final Internship : “Laughter detection from wearable sensor systems”.
2011-2013 | Classes Préparatoires aux Grandes Ecoles (CPGE)
Lycée Adolphe Thiers, Marseille
Mathematics & Physics.