Calorie estimation model for Indian elderly persons using image processing and convnets techniques
Keywords:
CNN, Indian datasets, image processing, calibration object, estimationAbstract
Nutrition is a basic human necessity as well as a requirement for a healthy lifestyle. Especially in elderly people, nutrition is an essential modulator of health and well-being. Nutritional intake in older people is sometimes hampered by a variety of circumstances like isolation depression, weak muscles etc. which increases the risk of various diseases. An effective Food Assessment system that classifies and estimates calorie requirements from a cooked food image is highly recommended, allowing a person to discover what foods contain and how healthy it can be. In this paper a dietary assessment system is developed which classifies the given Indian cooked food image and further estimates its Calories and nutrients by obtaining food region. The proposed method was tested on certain fruits and cooked foods, yielding an average error rate of 8.31, which is highly acceptable.
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