Towards the universal assessment of dietary intake using spectral imaging solutions

التفاصيل البيبلوغرافية
العنوان: Towards the universal assessment of dietary intake using spectral imaging solutions
المؤلفون: Weesepoel, Y.J.A., Alewijn, M., Daniels, F.M.J., Baart, A.M., Müller-Maatsch, J.T.L., Simsek-Senel, G., Rijgersberg, H., Top, J.L., Feskens, E.J.M.
المصدر: OCM 2021 - Optical Characterization of Materials: Conference Proceedings ; ISBN: 9783731510819
بيانات النشر: KIT Publishers
سنة النشر: 2021
المجموعة: Wageningen UR (University & Research Centre): Digital Library
مصطلحات موضوعية: Life Science
الوصف: Personal(ised) sensors or ”wearables” could, in the future,be applied to provide personalized nutritional advice. A challenge here is to assess dietary intake. To date, this has mainly been done with questionnaires or interviews, for example, food frequency questionnaires or 24-hour recalls. However, these methods are prone to bias due to conscious or unconscious misreports,and more objective measurement methods are desirable.By applying and combining spectral imaging techniques like hyperspectral imaging (HSI) and RGB-depth (RGBD) imaging, information on the macro-composition, identity and quantity of food consumed can be obtained. In this work, we demonstrate that HSI was effective for estimation of the fat content and layer thickness of butter on slices of bread with root mean squared errors of predictions of 4.6 (fat w/w %) and 0.056 mm respectively.Identification and volume estimation of vegetables and preparation methods were successful with RGBD imaging. Using Convolutional Neural Networks, all samples were correctly identified. For volume estimations of vegetables, R-square scores between 0.80 – 0.96 were achieved.
نوع الوثيقة: book part
وصف الملف: application/pdf
اللغة: English
ردمك: 978-3-7315-1081-9
3-7315-1081-2
Relation: https://edepot.wur.nl/544020
الاتاحة: https://research.wur.nl/en/publications/towards-the-universal-assessment-of-dietary-intake-using-spectral
Rights: https://creativecommons.org/licenses/by-sa/4.0/ ; Wageningen University & Research
رقم الانضمام: edsbas.A8BAE1E6
قاعدة البيانات: BASE
الوصف
ردمك:9783731510819
3731510812