2 jobs found

This master’s is to help further our work on remote vital sign monitoring (VSM) and the detection of heart rate through non-contact video measurements. Specifically, in this work the aim is to use machine learning to improvement the accuracy of the prediction of heart rate and heart rate variability in realistic conditions e.g. with motion and at night using video data. The work will consist of two threads. Firstly, an investigation of motion compensation and artefact removal in images to improve the robustness. Secondly a collection of a database to move the measurements to the infrared, proving that the technique can work over a 24 hour period, i.e. at night. Your mission Your mission will be to use state-of-the-art computer vision techniques on database collected to improve the accuracy and robustness of the heart rate predictions and secondly to collect a database at infrared wavelength which would allow this technique to be used 24 hours. The candidate is expected to...

The Edge AI and Vision group of CSEM is devoted to the capture, process and extraction of information from edge sensors. Our activity spreads from the development of complete system solution and innovative ASIC designs for pre-processing images to the algorithms to extract high level information form images.(https://www.youtube.com/watch?v=ZjEbWzGiMfw) Your mission You will participate in our efforts in research and development for low power vision systems at the algorithmic level. Typically, you will work on developing vision systems starting from the acquisition of the best data (time series, images, or videos) possible to the development and implementation of advanced machine learning techniques. You will also lead multidisciplinary industrial projects (link with other CSEM activity fields). Your profile You are in possession of a degree in Computer Science or related field with ideally experience and passion in the following topics: Strong know-how and expertise...