Ding – Smart Tracking for Healthier Lifestyle

About the Project

The goal of the thesis project is to motivate people to be healthier, help them to make healthier decisions and make being healthier more convenient. This project will attempt to accomplish a digital interactive system helps doing the InHome and OutHome sugar intake tracking that connected to smart bottle to get more accurate statistics and give useful suggestions .

Name:

Shiwen Ding

Committee Member:

Adam Smith

Daniel Deluna

Chris Jackson

Situation & Problem

Too Much Sugar Intake

People take sugar unconsciously

Hard to Track the Amount

Most individuals eat too much sugar per day and they did not notice that. It is hard to notice the problems, because they did not know the sugar containment of each food and it is hard to track that. Also, people are too lazy to input all food data that they eat everyday. The research shows that there are over 76 dangers when you eat much sugar, and there're more that 2 million people died from too much sugar intake.

User's Pain

Complex Input process

Hard to Understand

Not Accurate

No Idea what to do next

Approach

Using Camera to scan the food, intergrating AR and AI to get the sugar amount for the food.

Visualize the data, to let the user understand what is the amount for.

Based on your goal and preference to give you specialized recommendation

Competitive Analysis

Hard to Understand the statistics
Complicated input process

Overwhelming Content
Too much Text

Specific for certain Groups
Small Graphics

Gaps in the Market

The info data for the currrent app is way too hard to understand
User can't feel involved in the data and inforamtion, they don't understand what the meaning of the data

Most of current app user need to type all the food information they take to the app
Most of the time user just forget to input or even lazy to input the data

Even user filled all the information the app requires, there's no more next step for users to do to have a better habit
Most of the app they don't suggest user what to do, what not to do

User Persona

Fiona lynn

23 / Graduate Student / USC/ San Francisco

" I love share my life especially through instragram, especially to shot some delicious food."

Fiona Lynn is a graduate student majors in artistic design, she likes fancy images and record her life. She is so addicted to sweet food and wants to change this situation. She tried to understand the nutration facts but she failed, she download several appp to record and understand the calories and sugars for the food. She is pretty busy about her course work and busy with she life.

David Louis

28 / Graduate Student / RIT / Rochester

" I love share my life especially through instragram, especially to shot some delicious food."

David Louis is a senior student majors in Computer Science, he is a big fan of being healthy, he always eat healthy, exercise a lot. He likes to count every amount likes fancy images and record her life. She is so addicted to sweet food and wants to change this situation. She tried to understand the nutration facts but she failed, she download several appp to record and understand the calories and sugars for the food. She is pretty busy about her course work and busy with she life.

User Summary

Use Case

How does it work

Scan to record

User can easily scan the food to get the information about the food they scaned and quickly understand what does the information means, they can choose to decide to take it or not. Add to the amount by clicking the add icon.

This helps a lot about user don't want to type the sugar amout.

Hey there, this is the default text for a new paragraph. Feel free to edit this paragraph by clicking on the yellow edit icon. After you are done just click on the yellow checkmark button on the top right. Have Fun!

Data Visualization

User can easily get the sugar info and compare with what they already take and how much perscentage amount is compared with the whole day.

Once the amount is above the need is will eppand and suggest user to go to gym now or eat some food healthy.

Recommendation

Once they get the information, data, they can click for recommendation. They can get both recipe and exercise.

In order to make the design looks consist, all the buttons are half-circled. Also the recommendation specialized based on the preference, users can filter the recommendation to get what they want.

Interaction

The Meaphor for the interaction of sign up is using balance combined with real life interaction to visulize the boring input process and make user more involved in the app.

Home page

The white circle represents the sugar amount you need for tiday, while the red moving liquid stands for the amount you already take for the day. The yellow string indicates user to click and drag to view different period of the amount.

Scan your Food

The app provides you the option to scan your food instead of type, based on the geo-location we know where you are at and what is the sugar amount even at the restaurant.

Scan your OCR

You can also scan the nutrition facts code, also train your artificial intelligence, at first we will guess what it is and give you option to choose and give you info about the sugar.

Get Recommendation

Based on what you already take the app will give you recommendations based on what you need, and you can filter those recipe and exercise to meet your needs.