A Diet Control and Fitness Assistant Application Using Deep Learning-Based Image Classification

Tianren Dong, Yu Sun, Fangyan Zhang
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Abstract

With more and more attentions paid on health, people begin to care about healthy diet options created by experts on nutrition. However, it will take a long time to observe the effects by taking healthy diet. This causes great difficulty for users to follow the healthy diet strictly. Most existing applications are not user-friendly in inputting information to the application. Then it becomes difficulty to track for exact health status. This paper proposes an android application which can be trained to recognize different kinds of food and facilitate the information input through phone camera using machine learning algorithms. Thus, nutritional information can be fed in application accurately.
基于深度学习图像分类的饮食控制和健身助手应用
随着人们对健康的关注越来越多,人们开始关注营养专家创造的健康饮食选择。然而,要观察健康饮食的效果需要很长时间。这给使用者严格遵循健康饮食带来了很大的困难。大多数现有的应用程序在向应用程序输入信息时都不是用户友好的。这样就很难跟踪准确的健康状态。本文提出了一个android应用程序,该应用程序可以训练识别不同种类的食物,并使用机器学习算法方便通过手机摄像头输入信息。从而在应用中准确地提供营养信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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