Dhruv Relwani interned at Qatar Computing Research Institute to develop the Android version of the "ICamel" app as part of the Mobile/Wearable Health Sensing and Interaction Project. The app uses a virtual pet to motivate users to be more physically active and make healthier choices. Relwani designed game mechanics and interfaces, implemented core functionality, and addressed technical challenges to create an engaging health game that collects user data.

1. Summer Internship 2015
Qatar Computing Research Institute
Dhruv Relwani
University of California Berkeley
Logistics and Project Description:
Contributed to the Mobile/Wearable Health Sensing and Interaction Project at the Social Computing
department of Qatar Computing Research Institute, as a summer intern (May - July 2015). Collaborated
with my team member (Mohammad Yakoob - iOS app developer) and my mentors (Yelena Mejova,
Meghna Singh, Ferda Ofli & Ingmar Weber) for 8 weeks (averaging around 30 hours/week) to develop
the Android implementation of the “ICamel” app.
Our project was to develop an interactive interface for health-related data, like physical/physiological
activity and food consumption, on a mobile or wearable technology that can then be integrated into a
social media platform. We achieved this objective by creating a virtual pet that initially intends to build
an emotional connection with the user through daily interaction prompts and then challenges the user
with tasks involving physical exercise. This lifecycle of the pet is integrated into a game flow that’s
driven by user's physical activity signals and screen interaction with the pet that contribute to respective
point-systems in the game.
Goals Achieved:
ICamel Game Concept:
Conceptualized the Health and Happiness Meters for the virtual pet and scaled them to optimize user
interaction. Accounted for the average number of days in a month and strategically decided the
incrementFactor and the reductionFactor for user’s points earned during the game. To ensure regular
user interaction, created the dependency of the Health and Happiness Meters on DailyActivity of the
user and food from the PetStore; This helps in developing an emotional connection with the pet through
regular interaction and in improving user’s health with daily challenges that adapt to user’s behavior
while motivating him/her to walk more number of steps. Further developed concepts that can be
implemented in the future to enhance the game, like Hide & Seek, Daily Question (to make the user
aware about his/her diet) and integration with Social Media.
Basic Implementation of the app’s Graphical User Interface:
Designed 3 basic user interfaces to provide visual feedback about the user’s progress in the game, his/
her next challenges, the points accumulated and the available options in the PetStore. Implemented 3
different Android Activities (NameScreen.java, ICamelActivity.java and PetStoreActivity.java) to
develop the game's flow according to its concept. Searched for the best methods to save the app’s data
and finally implemented Android’s SharedPreferences during every possible stage of the life-cycles of
different activities, to save the user’s progress (even in the worst cases when the device is switched off
or the user receives a call). Resolved the issues related to the device’s RAM consumption (because of
the auto-resizing of the layout images to match device’s screen resolution), to develop a smooth
connection between different activities of the game. Finally, added the additional feature of walking in
the PetStore to earn points from challenges instantly.
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2. Implementation of the app’s back-end (Game’s logic and data collection):
Developed the intricate implementation of the idea flow by creating Game.java to account for all the
possible cases (including the corner cases of the Health and Happiness Meters). Provided the app's
adaptability to all Android phones based on the device’s hardware (the sensors available) and used the
best possible hardware data for the pedometer (StepCounter for phones after Android Kitkat 4.4 and
Accelerometer for phones without a step counter). Manually calculated the steps using the
accelerometer data using a complex algorithm (by Levente Bagi) and integrated that in the game flow.
Strategically utilized the different stages in the life-cycles of the Android activities to determine the
days passed during the game, to check the available device sensors and to unregister the sensors (to
reduce battery consumption and enhance the app’s efficiency).
User Interface Description:
The NameScreen activity of the app prompts the user to name his/her virtual pet when the app is first
opened on an Android device. Consequentially, the ICamel Activity of the app displays the user’s
progress in the game through the Health & Happiness meters, step count, counter for the number of
challenges completed and points earned. At the center of the screen is the pet camel with which the user
can interact by tapping on it to make it feel happy. This image of the pet also revises according to the
pet’s satisfaction levels and well-being. In addition to the textual feedback this activity provides to the
user about the number of steps required for his/her next challenge, the food & challenges flags signify
the user’s contribution to the Health Meter for that particular day.
Finally, the PetStore Activity allows the user to utilize the points earned to enhance the pet’s
appearance or buy food, toys or accessories for the pet to make it happy.
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3. Challenges Encountered:
Learning Android Studio and developing sample app
Learned about the foundational tools and processes for developing sample Android applications and
minor debugging tips like rendering Layouts in Android Studio 1.2 by manually building the project
and syncing Gradle files. Read through multiple descriptions in the API guides on
developer.android.com and consequentially learned to develop motion-sensing apps on Android Studio
through the Udacity course, “Developing Android Apps”.
Acquired knowledge about the App components like Activities, Services, Broadcasts and Content
Providers. Created my first sample app, with a user interface that displayed “Hello World”, after
learning about the Activity Life Cycles and the process for unlocking developer mode on Android
phones. Finally, reviewed the API descriptions for using different sensors like Accelerometer and Step
Counter on Android phones.
Step Counter for all Android phones
Built a sample app that displayed the speed based on Accelerometer data (beyond some minimum
threshold) with which the phone moved and then learned to query step counter data on phones that used
Android Kitkat or newer OS and were released after Nexus 5. Searched for algorithms to convert
Accelerometer data into step counts, for the phones that don't include a built-in step counter, by reading
through the source code for many pedometer apps, the Android Sensing Kit and some suggestions on
StackOverflow. Successfully developed and installed a sample app that counts steps for all Android
phones with hardwares including at least an Accelerometer. This app provides the best estimation of the
user’s step count by querying the step counter for phones that have one or by using an algorithm to
convert accelerometer data into steps.
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4. RAM Consumption issues and separation of UI classes from backend
When bulky images are placed in drawable (idpi/mdpi) folder, Android OS tends to resize them
according to device’s screen resolution; This caused “Java Out of Memory Error” while loading the
ICamel and PetStore Activities. Hence, the images used were subsequently resized manually to meet
the requirements and then placed in “res/drawable-nodpi” directory to avoid rescaling.
Experienced the “FindViewById method cannot be referenced from static context” exception when the
Game.java (backend) file was created to support all the methods that weren’t utilized to access the user
interface (encoded in the 3 Android Activity java files). Resolved this issue by saving the instances of
Android Activities in static variables (in Game.java) that were utilized to connect the backend to the
UI.
Scaling the Health Meter:
The Health Meter is dependent on 2 primary factors- Daily Activity of the user and the food from the
Pet Store:
The Health Meter has 60 divisions (30 units with 2 divisions each).
One unit comprises of 2 divisions of 2 different types - Daily Activity divisions and Pet Food divisions.
Daily Activity- If the user completes at least 1 challenge on a particular day, he/she will earn credit to
contribute 1 division to the Health Meter.
Pet Food- The user can use the points earned from these challenges to purchase pet food and hence
contribute 1 division to the Health Meter.
On one particular day-
The contribution to the Health Meter cannot exceed 2 divisions (of 2 different types).
When The Health Meter is not full:
• Best Case (1 Unit Contribution to the Health Meter = 1 + 1 divisions):
• The user walks and completes at least 1 challenge and contributes 1 Daily Activity division to
the Health Meter.
• The user also utilizes the Health Points to feed the pet and hence contributes another division
(Pet Food) to the Health Meter.
• Since we start the Health Meter at 50% (30 divisions), the user will fill the Health Meter in 15
days by contributing 15 units (2 divisions) daily.
• Alternate Case 1: (User accumulates health points but doesn’t exercise):
• The user utilizes the Health Points to feed the pet and hence contributes 1 Pet Food division to
the Health Meter.
• The maximum contribution, using Pet Food (earned by Health Points), to the Health Meter
cannot exceed 1 division on that day, irrespective of the health points accumulated by the user.
• Hence the total contribution to the Health Meter would only be 1 + 0 division.
• However, the Happiness Meter will reflect a negative change.
• Alternate Case 2: (User completes at least one challenge but doesn’t feed the pet):
• The user completes one challenge and hence contributes 1 Daily Activity division to the
Health Meter.
• The maximum contribution, due to the user’s daily activity, to the Health Meter cannot exceed
1 division on that day, irrespective of the number of challenges completed by the user.
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5. • The benefit of completing additional challenges would only be reflected in the Health Points
earned (which can then be accumulated to buy gifts from the Pet Store).
• Hence the total contribution to the Health Meter would only be 0 + 1 division.
• However, the Happiness Meter will reflect a negative change.
• Worst Case (The user neither completes a challenge nor feeds the pet):
• The Health Meter would go down by 2 divisions.
• The Happiness Meter will reflect a negative change.
• Since we start the Health Meter at 50% (30 divisions), it's reasonable to “kill” the pet after 30
days of inactivity.
• In the best case (the Health Meter is full: 60 divisions), the user can then remain inactive for
60 days before the pet “dies”.
When The Health Meter is full:
• Best Case (User completes Daily Activity and provides Pet Food):
The Health Meter remains full.
• Alternate Case:
The Health Meter would go down by 4 divisions.
Future Ideas:
1) Using a heuristic to learn the user’s most visited routes and then integrating them in the Hide n
Seek game with the pet.
2) Utilizing the user’s food pictures shared on social media like Instagram to check for nutritional
values and health benefits by using Google’s Image Search API.
3) Integrating Facebook for ranking the user against his/her friends based on the points earned in the
game.
4) Storing the game data on external servers to query for medical studies about daily physical activity
in different lifestyles.
ICamel Source Code:
https://DhruvRelwani@bitbucket.org/healthypet/icamel-android.git
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