20 citations · 20 across the 3 of their papers we have counts for
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Towards computer vision powered color-nutrient assessment of pureed food
Kaylen J. Pfisterer, Robert Amelard, Braeden Syrnyk +1
With one in four individuals afflicted with malnutrition, computer vision may provide a way of introducing a new level of automation in the nutrition field to reliably monitor food…
A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations
Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung +1
Dysphagia affects 590 million people worldwide and increases risk for malnutrition. Pureed food may reduce choking, however preparation differences impact nutrient density making q…
A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging
Robert Amelard, David A Clausi, Alexander Wong
Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance. This technology enables monitoring in situations where contact-b…