Pierre Boulanger — accepted AI-conference papers

2024

Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments

Shadan Golestan, Omid Ardakanian, Pierre Boulanger

AAAI 2024technical

Optimizing the configuration and placement of sensors is crucial for reliable fall detection, indoor localization, and activity recognition in assisted living spaces. We propose a novel, sample-efficient approach to find a high-quality sensor placement in an arbitrary indoor space based on grey-box…

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2018

Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network

Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W. Wood, Pierre Boulanger, Raj Padwal

ICASSP 2018accepted

We propose a method for estimating blood pressure (BP) non-invasively from electrocardiogram (ECG) and photoplethysmogram (PPG) signals. This method has potential to be used as a continuous form of BP estimation. Along with these signals, to our knowledge, for the first time in the BP measurement st…

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