i cubed Interdisciplinary “Lunch and Learn” Seminar for Wednesday Feb 19
Electrical Impedance Tomography-Based Food Recognition to Facilitate Human-Food Interaction Research
by Chamath Amarasinghe (Advisor: Nimesha Ranasinghe)
19 Feb 2020, 12 noon, 326 Boardman Hall
Open to the campus community. Bring your lunch.
Recognizing the food and determining their various properties (e.g., ripeness and nutrient content) using non-visual methods are essential to develop novel digital interactions between humans and food (Human-Food Interaction). At present, most of the recognition methods are based on image processing techniques in which captured images are analyzed by machine learning algorithms. This method can be challenging as some food items do not exhibit significant variations in appearance, for instance, Cheese vs. Mayonnaise. In this research, we propose a novel food recognition method based on Electrical Impedance Tomography (EIT). EIT is frequently used in food engineering, where conductivity distribution is evaluated to determine the quality of food (e.g., total solid content in milk, salt and water content in fish). At present, our research focuses on the recognition of food by determining conductivity across a broad range of frequencies.
Chamath Amarasinghe is a MS student in Spatial Information Science and Engineering program at the University of Maine. He got his Bachelor’s degree in Electrical Engineering from the University of Moratuwa, Sri Lanka. His research interests lie in the areas of Human-Computer Interaction and Human-Food interaction.
i cubed “lunch and learn” seminars sponsored by School of Computing and Information Science
i cubed = three planes, six faces, eight vertices, twelve edges
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