Lightweight Visual Data Analysis on Mobile Devices: Providing Self-Monitoring Feedback

Chapter 1

1.1   Introduction

1.1.1 Background

Mobile phones and other wireless machines with sensors have the ability to scan and read hidden information through codes and other specified credentials as chosen by the users. Mobile phones have the same ability to make use of pictures and data to help calculate the level of calories consumed by a person on the meals served. A meal with various ingredients will be expected to have certain levels of calories based on the standard recipes for preparing such meals. For example, a person who has been served breakfast containing an egg, milk, and bread can be informed of the amount of calorie consumed. Whereas, certain levels can be below or above the recommended figure. In the listed example above, the calories contained in the breakfast are 155, 42, and 80 calories respectively. The total calories consumed from the served breakfast sum up to 277. A normal and recommended breakfast must contain at least 400 calories just consumed after 7 am. However, the required number of calories per day can vary depending on the health conditions of a person. The average recommended calories intake for men is 2500 calories and women 2000 calories per day.

A lightweight data capture and visualization project will be done to gather information through text and pictures to analyze the number of calories consumed. Despite the pictures having various challenges such as darkness, too much light, or blurred, the information collected is analyzed hand in hand with the selected items purported to be in the pictured meal. The design of the app has no specific details to contain but the ability to analyze data using some of the keyed information related to taken pictures. Certain chronic diseases in the present age are caused by poor dieting and lack of exercise to burn the extra calories taken. Instead of keeping records on the served meal to inform nutritionists, individual people can have real-time tracking of the meals taken or even before eating to ensure the right quantities of calories have been served to avoid gaining weight and becoming obese. Overweight is a major cause of the major diseases affecting the world like high blood pressure, diabetes, and to some levels the causes of severe cancers. Every Android phone user has the ability to read and respond to various text information displayed on the screen of the phone. Making the app simple to collect a few related or present items found on the served meal then taking a picture will help to give an idea on the number of calories consumed.

The effectiveness of the visualizations used by lightweight mobile devices has not been fully discovered but with the current research, some sort of analysis can be done to establish and discover the contents in a meal. Due to the lack of interventions on the visualizations, an assist of a few input data is required to facilitate the comparison and analysis of the items within a meal. Making use of data analysis concepts, collection and processing will be the major tasks of the lightweight visual data analysis app will have a primary objective of collecting information in form of pictures assisted with selected text predictions to generate the number of calories in food. The data processing criteria have been integrated with the information about the number of calories contained in different kinds of food. An analytical process takes the development of data from input records or historical data. Considering the reasons why many people purchase phones are due to communication and other luxury options like taking pictures and listening to music. Making simple and less time-consuming applications that can benefit users regarding health and other real-life aspects can enable knowledge enhancement towards enlightening people. Making such an application to require less memory space and generate results run through a programmed application can make work easier. It can take so much time and effort to develop such an application but once accepted in the market and running the target organizations, institutions, or the market will help in generating revenue to maintain and make updates.

1.1.2 Objective of the Study

The study objective is to evaluate how people make use of mobile devices with visualized data. The images and other visuals captured can be utilized to process information and offer detailed results. The target population is all users of mobile devices. A great percentage of the people in the world own Android or Smartphones capable of collecting visual data information. The allocated memory size can be installed applications ready to analyze captured visuals of meals and calculate the calories content on the meals served. The visuals can be analyzed based on shape, color, and pixels of pictures taken.

1.1.3 Statement of the Problem

The World Health Organization (WHO) and other health organizations in the world have determined the use of mobile devices in determining the health status of people. Since a majority of the population own mobile devices, the collection of information from meals can be easier because the required details are limited to a few options and taking snapshots. The images and information provided can offer insights on the nutrients contained in every meal serving and recommend for a reduction or increase in the consumption of various portions. An average recommendation of calories intake for a normal woman is 2000 calories and for a man 2500 calories in a day. The prototype application is expected to generate the results of the number of calories taken in a day. When the results are below the recommended average consumption, the application advises for an increase while when the results are above the recommended average, a reduction in consumption is advised as the feedback. The feedback is expected to be generated a few second after the submission of the visual data.

1.1.4 Purpose of the Study

The population of the people is increasing at a high rate and healthcare providers are on the run doing research on emerging diseases…

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