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Automated Dietary Monitoring System: A Novel Framework
Adv. Intell. Sys. Comput. ; 1270:535-542, 2021.
Article in English | Scopus | ID: covidwho-1002038
ABSTRACT
Now, the world is struggling through an unexpected adverse situation due to the COVID-19 pandemic. Governments are spending significant resources so that people can get rid of the disease and develop and maintain their health. Healthy lifestyle and disease preclusion are a socio-economic issue now. According to WHO [1], diet is an important factor to gain immunity and protect people from severe ailments. Therefore, it is required to stay acquainted with the equation between a balanced diet and a healthy life. Unfortunately, in the developing countries like India, there is no proper dietary assessment system specially for the rural people. The popular traditional manual approaches are biased, subjective and inaccurate. Our aim is to develop a low-cost, power-aware novel framework for an automated dietary monitoring system using wearable sensors that can monitor eating habits, food intake, nutritional content of the food and calorie intake along with a feedback to the user. The system is potentially applicable in Indian scenario and effective to analyse versatile Indian foods. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Adv. Intell. Sys. Comput. Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Adv. Intell. Sys. Comput. Year: 2021 Document Type: Article