Design Document

Health365

(Team 16) Design Document

Colin Ford

Taylor Johnson

Dan Miller

Brandon Schabell

Aditya Vaidyam

Andrew Walden

Table of Contents

1. 1.Purpose:
2. 1.1.Non-Functional Requirements:
3. 1.2.Functional Requirements:
4. 2.Design Outline:
5. 3.Design Issues:
6. 3.1.Non-functional Issues 1. 3.1.1.Framework 2. 3.1.2.Notifications/Events 3. 3.1.3.User Interface
7. 3.2.Functional Issues 1. 3.2.1.Workout Tracking 2. 3.2.2.Nutrition Tracking 3. 3.2.3.Route Tracking 4. 3.2.4.Sleep Tracking
8. 4.Design Details:

Purpose:

We live in a dynamic and demanding society that often makes health and fitness a last priority. By taking advantage of society's dependence on mobile devices, it is possible to seamlessly integrate health and wellness into users' lives. There currently exist several mobile applications that can be used to track calories, record physical activity, measure sleep patterns, etc., but few applications have managed to incorporate these into a single cohesive and user-friendly experience.

We believe that having an app that is all-encompassing, easy to use, and integrable with everyday life is the natural next step in health-related app development. Allowing users to log various health-related activities in a single app will enable them to see how these activities affect their overall health. Furthermore, this log will also allow users to view a history of their health as a result of their activities. Finally, our product will provide an intuitive and innovative approach for the general health-minded individual to monitor their overall health.

Non-Functional Requirements:

We as a team of developers have some non-functional requirements:

1. 1.Implement this on mobile devices that use Android such that it can run on Android devices which are on the market today.
2. 2.Must have a module class that is abstract enough that can allow each individual module we implement to have specific yet independent functionality.
3. a.Must be able to update each module such that they are independent of each other and do not have much overlap apart from a consistent data transfer between them.
4. b.Update itself to pull current trends in health related to that module
5. c.Import other health data from other mobile devices or databases that reflect the module's use.
6. d.Adding Modules must be easy to do.
7. 3.Keep the UI simple yet portray user data such that it makes sense and is consistent with the data reported from each individual module.
8. 4.Can store and access user's data with alacrity and ease using a database that is connected to the whole app in some fashion.
9. 5.Have the application enforce security when the user inputs and accesses private data, like their medical information.
10. 6.Be able to test each module for the following
11. a.Proper Usage
12. b.Response Time
13. c.Battery Usage

Functional Requirements:

This design document will cover the following functional requirements:

1. 1.Have a module for a specific focus of a user's health
2. a.User's will be able to use a module that focuses on one of the following 1. i.Step Tracking 2. ii.Nutrition 3. iii.Sleeping Habits 4. iv.Route based Exercises (Running and Cycling) 5. v.Workouts and Other Exercises.
3. b.Each Module will generate data that will reflect that person's overall progress via numbers or graphs (time allowing)
4. c.They will have access of a history to monitor their progress.
5. 2.The data provided by each module will be securely stored
6. a.We will provide a database of some form to store all the data generated by each module
7. b.Passwords and other security checks will keep the data secure, seeing as the data will be confidential.
8. 3.Compile data which will provided an idea of the user's overall health
9. a.Modules will independently calculate their data then have a main module or calculator compile it all and output an overall score of health
10. b.This data will be displayed in an easy way to understand for the user in the main menu.
11. 4.Provide an easy to use and intuitive UI.
12. a.The interface will have an appealing look to it
13. b.The layout will be easy to understand and use
14. c.Transitions between modules will be smooth.

Design Outline:

Our application will be designed from a multi-layered system architecture which will utilize the Model-View-Controller (MVC) design pattern. The multi-layered system will be divided into 3 portions: the UI where the application will interact with user, the application layer where all of the computation occurs within each module, along with handling of events from the event bus, and access to lower level and back-end services such as requests to a database as well as services requested from Android sensors and OS. The MVC design pattern comes from the events triggered from the UI, which will modify the application model where that will post back to the user interface, as well as the events that flow between the modules and the back-end services, like the SensorManager or Realm Database.

1. 1.User Interface (View)

• ●●This will be the main view where the user can see their health's progress as they use the app.
  • ○○It will show graphical and meaningful statistics which reflect what the user's done today from using each module.
  • ○○It will display a history for the user to see their progress.
  • ○○Separate modules that can viewed in different tabs or panels.
• ●● It will act as the user's source of input for the application's modules
  • ○○The results from the chain of events spawned from the input from the user interface which communicates with the application, modules, sensors, and database will be reflected accurately for the user to see.
  • ○○Each update of the interface will be done within context depending on its state.

1. 2.Application (Controller)

• ●●The application will use an Event Bus to take input from the user and trigger events based on input and distribute it to all the modules.
• ●●Events will act asynchronously to notify individual modules which will pull data from the database associated with said module and produces meaningful results on this level using any algorithms and computations needed.
• ●●Writes back results to database to reflect changes and posts back results for the user to see on the UI.

1. 3.Database (Model)

• ●●Warehouse of all data needed for the user's health is held.
• ●●Data will depend on the type of module being used.
  • ○○Route: Pace and route of activity (run/cycle/steps).
  • ○○Nutrition: Favorite foods of the user.
  • ○○Medical: List of prescribed drugs
  • ○○Sleep: Average duration of sleep.
  • ○○Pedometer: Average number of steps taken.
  • ○○Workout: Presets the user has input for use.
• ●●Each module will each write to their own table that holds their respected data.

Design Issues:

Non-functional Issues

Issue: Counting steps taken

Option: Use Android Pedometer API

Option: Use Accelerometer data for devices that might not support the Android Pedometer API

Justification: Using the Pedometer API will ensure greater accuracy for devices that support it. Using Accelerometer data and interpreting it as steps would allow users without Pedometer support to reap the benefits of the step-tracking module.

Framework

Issue: Providing a database solution which can be migrated and maintained

Option: Realm as a NoSQL solution, with an always-available context for each module.

• • ○○Model layer in the MVC pattern, which would be separated and accessible to all modules.
    • ■■Modules will have write permissions only to its own module layer.
  • ○○Decoupling of the three layers allows for better maintainability.

Option: Connect a database running on a server.

• • ○○Have the data stored off site that's independent of the device.

Justification: The decision was to go with Realm because it integrates well with the RxJava framework that decouples the modules easier. It also provides the ease and readability of SQL queries in the form of Java method calls. The database also does not require connecting because it is stored on the device itself.

Notifications/Events

Issue: Informing other modules of actions taken or milestones

    Option: RxJava Framework

• • ○○Allows decoupling between modules by this eventbus allowing a 1 to 1 relationship between a module and a specific event tied to that module.
  • ○○Controller layer in the MVC pattern which will change the model then post updates to the User Interface asynchronously.

Option: HashSet<WeakReference>

• • ○○Also allows decoupling between modules, but involves direct contact with the sender and receiver of messages.
  • ○○No polymorphic Event inheritance (i.e. StepsEvent can be StepsChangedEvent or StepsMilestoneEvent, which are two different event types).
  • ○○Involves a layer of coupling, which, while through weak references that prevent composition/retain cycles, is undesirable.

Justifications: We decided to go with RxJava Framework. A lot of the work would be done for us setting up the bus that will decouple the modules but have them listen to events that are shared among modules when they something is changed in the application's runtime.

User Interface

Issue: How to represent overall information

Option: Keep modules as separate entities but with interaction among them

Option: Have a module for representing overall information such as total calorie intake and expenditure

Justification: We decided that using the first option will be the best solution for us. With the system set up to use Realm, RxJava EventBus, and independent modules, we decided that showing this representation reflects how the application works.

Issue: Switching between different sections (modules) of the application:

Option: Tabbed View

Option: Navigation Drawer

Justification: We decided to use the navigation drawer because it conforms to Material Design standards.

Issue: A stopwatch/timer module

Option: Use Android Chronometer class

    Has views and options for easy implementation

Option: Use Android CountdownTimer class

    No Chronometer-like option - views must be implemented

Justification: We decided to use the Android Chronometer class because it would be extremely easy to implement. We might use the CountdownTimer class, time permitting, to implement a counting down feature with a set time.

Functional Issues

Workout Tracking

Issue: Keeping track of exercises

Option: List of preset exercises (from server/database)

Option: Custom exercises

Option: Include sections of body that are exercised, and in what way?

Justifications: We decided to use all of these options. It's important to have a list of preset exercises because there are many standard exercises that most people do. It is also important to include the ability to add custom exercises because users might have specific exercises not listed. It would be really helpful to include graphical representations of the parts of the body being worked out so that the user can ensure their exercise session is holistic.

Issue: Exercise schedule

Option: Maintain a modifiable schedule for daily workout routines

Option: Should encompass all modules

• • ○○E.g. include cycling/running and exercises, and maybe walking, even diet, as components of exercise/general health schedule

Justification: We chose all of these options to go with. We can set up an event where the a schedule is made in the Workout module such that the other modules can update their respected data and suggestions for the user based on the schedule the user made for themselves to follow.

Nutrition Tracking

Issue: Keeping track of dietary information

Option: Preset List of Foods

    Option: Input List of Foods

Option: List of foods with positive and negative health impacts. For example, listing foods with high amounts of Vitamin A, Vitamin C, and Calcium, etc. as well as foods with high cholesterol, fat, carbohydrates, and other such type of things that people generally watch for.

Justifications: We have decided to use the second option and third options as it. The user inputs their foods they consume on a daily basis then input the information about OR draw from an outside source (server/database) that can give that sort of information to the user quickly.

Route Tracking

Issue: Have live pacing, time, and distance feedback

Option: Include a visualization of pace progress

• ●●Include distance/time in analysis

  • ○○(A fast pace but short distance/time isn't necessarily indicative of progress)
  • ○○Something like (pace * time/distance) vs. date - rewards high pace and high time
  • ○○Pace vs. time/distance?
  • ○○3 dimensional visualization?

    • ■■Pace vs. time/distance vs. date?

      Option: Include a history of past runs over a period of time.

• ●●Include summary statistics of the progress above.

Justifications: We decided to use both options to include both options. The more information overall is better. It is possible to show both of these types of data in separate views so they do not clutter up the screen of the device.

Sleep Tracking

Issue: Know how much the user snores and when they do

Option: Record sound - only while charging.

Option: Detect any level of sound - decibel threshold?

• • ○○There could be others in the room

Option: Check for specific frequency (deep) for snoring

Justifications: The first option was chosen to best solve this issue. It is the most intuitive for the user to use and get meaningful results from. Other apps similar to the ones being made are using this method with reasonable success.

Issue: Understand why the user might have trouble sleeping on certain days

Option: Use information from other modules (exercise, diet) to provide helpful suggestions

Option: Keep track of the user's sleep schedule. I.E. log of their sleep times over a certain duration of time.

Justifications: We decided to use both options. Having more information would provide a better picture to the user why they aren't sleeping.

Issue: Soothing sounds to facilitate sleep.

Option: Generating white noise.

Option: Public domain / royalty free / recorded sound effects / ambient noise

Option: Import recordings from other sources.

Justifications: The second option is the best solution for this issue. Gives more options for the user to provide. It saves time in finding ways for the phone to produce the white noises. Also, choosing non-royalty music and sounds saves time by not going through the process of obtaining legal rights to use the music.

Design Details:

The heart of the framework underlying the app is the EventBus mechanism:

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