Internship: radar-based vital signs monitoring
7 days ago
Locations: Toulouse
Time Type: Full time
Posted On: Posted Today
Job Requisition ID: R
We are looking for an intern for six months who will study radar-based vital signs monitoring and associated filtering and features extraction signal processing techniques. The NXP Automotive System Innovation team (part of the CTO) is looking for an intern for a study on radar-based vital signs monitoring, which includes detection of heart-rate and respiration rate. This functionality is key for a number of In-Cabin Sensing (ICS) functionalities, such as driver drowsiness and attention detection and warning.
The target of this internship is to study and compare several signal processing filtering and features extraction techniques (e.g., Kalman filters to remove Random Body Movements, EMD or VMD Hilbert transforms for features extraction, and possibly based on AI Machine Learning). Implementation can be done in MATLAB and applied to real-life data-captures (possibly collected by the intern), as off-line post-processing and/or as HW-in-the-loop. The radar device will primarily be an automotive FMCW-based 60-77 GHz radar, although the study may be expanded to UWB and 140 GHz radars.
Your ResponsibilitiesThe trainee will be responsible for/perform one or more of the following tasks:
- Understand the scope, and document the fundamentals of radars
- State-of-the-art research on vital signs signal processing filtering and features extraction techniques
- Get familiar with test-bench to get measurements and recording with 1 or more radar sensors
- Implementation of signal processing filtering and features extraction techniques in MATLAB or Python
- Performance evaluation, conclusions and recommendations
- (Optional) Publication of the results (publication channel to be defined)
- Education level: Master Degree / last year of engineering school in
- Knowledge required in signal processing
- First-level understanding of (automotive) radars is welcome
- AI/ML experience is a plus
- MATLAB and/or Python programming skills (C is a plus)
- Organized, autonomous, and curious student required
- Fluent English mandatory, working in an international multi-site team
Nous recrutons un stagiaire de fin dtude pour une dure de 6 mois afin dtudier le filtrage et extraction de caractristiques par traitement du signal pour la dtection des signes vitaux par radar automobile. Lquipe Automotive System Innovation ( lintrieur du groupe CTO) est la recherche dun stagiaire pour une tude sur la dtection des signes vitaux par radar, comme la dtection du rythme cardiaque et du rythme respiratoire. Cette fonctionnalit est essentielle pour plusieurs applications de In-Cabin Sensing (ICS), telles que la dtection et lalerte de somnolence ou dinattention du conducteur.
Lobjectif de ce stage est dtudier et de comparer plusieurs techniques de filtrage et dextraction de caractristiques par du traitement du signal (par exemple des filtres de Kalman pour supprimer les mouvements corporels alatoires, des transformations de Hilbert bases sur EMD ou VMD pour lextraction de caractristiques, et ventuellement des approches bases sur lintelligence artificielle et lapprentissage automatique). Limplmentation pourra tre ralise sous MATLAB et applique des donnes relles (possiblement collectes par le/la stagiaire), en post-traitement hors ligne et/ou en boucle matrielle (HW-in-the-loop). Le dispositif radar utilis sera principalement un radar automobile FMCW dans la bande 60-77 GHz, bien que ltude puisse tre tendue aux radars UWB et 140 GHz.
Vos MissionsLe(a) stagiaire prendra en charge/ralisera une ou plusieurs des missions suivantes :
- Comprendre lapplication cible, comprendre les fondamentaux des radars
- Etat de lart, recherche et documentation des diffrents types de traitement du signal (filtrages et extraction dinformations) pour les signes vitaux.
- Prise en main du banc de test pour effectuer des mesures et enregistrements avec le(s) radar(s)
- Implmentation des techniques de traitement du signal dans un environnement MATLAB ou Python
- valuation des performances, synthse et recommandations
- (Optionnel) une publication des rsultats obtenus.
- Niveau dtudes : Bac 5, dernire anne dcole dingnieur en
- Connaissances requises en traitement du signal
- Des connaissances sur le fonctionnement de radars (automobiles) sont bienvenues
- Une exprience AI/ML sera un plus
- Bon niveau de programmation en MATLAB et/ou Python ncessaire, pratique du C serait un plus.
- Autonomie, organisation et curiosit seront des qualits indispensables pour ce stage.
- Anglais courant requis.
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