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

被引：0
|
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
收藏
页码：23 / 37
页数：15
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