Literature Survey-Food Recognition and Calorie Measurement Using Image Processing and Machine Learning Techniques

被引：1

作者：

Reddy, V. Hemalatha ^{[1
]}

Kumari, Soumya ^{[1
]}

Muralidharan, Vinitha ^{[1
]}

Gigoo, Karan ^{[1
]}

Thakare, Bhushan S. ^{[1
]}

机构：

[1] STESs Sinhgad Acad Engn, Pune, Maharashtra, India

来源：

ICCCE 2019: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND CYBER-PHYSICAL ENGINEERING | 2020年 / 570卷

关键词：

Convolutional neural network (CNN); Deep learning; Food recognition; Machine learning (ML);

D O I：

10.1007/978-981-13-8715-9_4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Nowadays, with easy access to internet, food is delivered at our doorsteps just on the click of a button due to which people have started to consume higher amount of fast food. This has accelerated the chances of suffering from a chronic disease known as obesity. Since obesity has become such a widespread disease, various mobile e-health applications have been developed for assistive calorie measurement to help people fight against health-related problems. In this paper, we have surveyed different methods for food recognition and calorie measurement using various methods and compared their performances based on several factors.

引用

页码：23 / 37

页数：15

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