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of 7
pro vyhledávání: '"Viprav B. Raju"'
Autor:
Viprav B. Raju, Edward Sazonov
Publikováno v:
IEEE Access, Vol 8, Pp 86196-86206 (2020)
There is a need for non-invasive methods for nutritional analysis of food that can address the drawbacks of current methods such as color photography, which cannot distinguish between energy-dense and zero calorie foods. This paper discusses a novel,
Externí odkaz:
https://doaj.org/article/4bb86075dbc24e62a4bc49e698d7f3ad
Publikováno v:
Sensors, Vol 23, Iss 2, p 560 (2023)
Sensor-based food intake monitoring has become one of the fastest-growing fields in dietary assessment. Researchers are exploring imaging-sensor-based food detection, food recognition, and food portion size estimation. A major problem that is still b
Externí odkaz:
https://doaj.org/article/0126d597103642a2bf971b6e2734f964
Autor:
Viprav B. Raju, Edward Sazonov
Publikováno v:
Sensors, Vol 22, Iss 9, p 3300 (2022)
Imaging-based methods of food portion size estimation (FPSE) promise higher accuracies compared to traditional methods. Many FPSE methods require dimensional cues (fiducial markers, finger-references, object-references) in the scene of interest and/o
Externí odkaz:
https://doaj.org/article/2e2e3f03077e46b98cbc6380af44cae9
Estimation of Plate and Bowl Dimensions for Food Portion Size Assessment in a Wearable Sensor System
Publikováno v:
IEEE Sensors Journal. 23:5391-5400
Autor:
Viprav B. Raju, Edward Sazonov
Publikováno v:
IEEE Sensors Journal. 21:12882-12899
Food portion size estimation (FPSE) is critical in dietary assessment and energy intake estimation. Traditional methods such as visual estimation are now replaced by faster, more accurate sensor-based methods. This article presents a comprehensive re
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Tracking an individual's food intake provides useful insight into their eating habits. Technological advancements in wearable sensors such as the automatic capture of food images from wearable cameras have made the tracking of food intake efficient a
Autor:
Viprav B. Raju, Edward Sazonov
Publikováno v:
2019 SoutheastCon.
The cameras in passive food intake sensors are worn on the body and thus are prone to motion blur that may reduce visibility of the food items in the image. Additionally, captured images may contain personal information, such as faces of other people