Loading [a11y]/accessibility-menu.js
Personalised Food Classifier and Nutrition Interpreter Multimedia Tool Using Deep Learning | IEEE Conference Publication | IEEE Xplore

Personalised Food Classifier and Nutrition Interpreter Multimedia Tool Using Deep Learning


Abstract:

Food plays a vital role in our day-to-day life to get all the required nutrients for a healthy lifestyle. In recent years, obesity has become one of the major concerns am...Show More

Abstract:

Food plays a vital role in our day-to-day life to get all the required nutrients for a healthy lifestyle. In recent years, obesity has become one of the major concerns among humans. Therefore, it is necessary for each individual to keep track of the nutrition intake in order to have a balanced diet. This has scaled up the implementation of automatic food analysis and semantic food detection using different image classification approaches, among which Deep Learning has brought a series of breakthroughs in this field. We have proposed the Food Classifier and Nutrition Interpreter (FCNI), a user-friendly tool that classifies various food types with a different graphical representation of food nutrients values in terms of calorie estimation along with a multimedia audio response. FCNI improves state-of-the-art food detection by a considerable margin on achieving about 96.81% accuracy.
Date of Conference: 16-19 November 2020
Date Added to IEEE Xplore: 22 December 2020
ISBN Information:

ISSN Information:

Conference Location: Osaka, Japan

Contact IEEE to Subscribe

References

References is not available for this document.