BORACLE – The Oracle for Your Body

Research Team

Lead Researchers:

• Nhut Ho, Mechanical Engineering
• Xunfei Jiang, Computer Science
  

Collaborators:

• Mr. Trung Dung, Industry
• Dr. Peter Washington, University of Hawai i at Mānoa, Information and Computer Sciences
• Peter Washington, University of Hawaiʻi at Mānoa

Student Team:

• Matthew Smith, MS Comp Sci*
• Toan Pham, BS Comp Sci at NCSU*
• Spencer J.H. Yang, MS Data Analytics at Oregon State*
• Patrick Prayoonpruk, BS Comp Sci*
• Ridham Patel, BS Comp Sci*
• Mishek Sambahangphe, BS Comp Sci*
• Neha Ananthavaram, MS Comp Sci*
• Pranati Jamalpuri, MS Comp Sci*
• Miles Kaddoura, BS Comp Sci*
• Brandon Ismalej, BS Comp Sci*
• Bhumil Kukadiya, MS Comp Sci*
• Benjamin Tran, Foothill High School
• Helena Hill, B.S. in Public Health
• Shanlin Qian, B.S. in Electrical Engineering at UCSD
• Himanshu Kumar, M.S. in Software Engineering
• Manpreet Dhindsa, M.S. in Computer Science
• Martin Ha, B.S. in Computer Science
• Taguhi Yenokyan, B.S. in Computer Science
• Christopher Pishaki, B.S. in Computer Science
• Paige Watanabe, B.S. in Computer Science
• Arfan Myint, B.S. in Computer Science
• Joseph Held, B.S. in Computer Science
• Jacob Solorzano, B.S. in Psychobiology at UCLA
• Spencer Hutchison, M.S. in Data Analytics at Oregon State University
• Xinyi Wang, B.A. in Arts
• Subhobrata Chakraborty, M.S. in Computer Science
• Anthony Bernal, B.S. in Public Health
• Georgina Argueta, B.S. in Public Health
• Diego Martinez, B.S. in Public Health
• Daniel Carter, B.A. in Economics
• Mohammad Shaik, M.S. in Computer Science
• Junhe Chen, B.S in Computer Science
• Mayur Rahangdale, M.S. in Computer Science at CSUN

Note: names marked with an asterisk (*) indicate current students

Funding

• Funding Organization:
• Funding Program:

SYNOPSIS

• Use benefits of wearable technology to advance healthcare.
• Decouple sensor data from smart wearables for faster innovation.
• Boracle Platform shares standardized wearable data to 3rd parties.
• Boracle Marketplace pairs users to wearable devices.
• Intelligent Algorithms detect healthcare conditions using ML models.

Abstract

Wearable devices and body sensor technology have evolved rapidly in the past years. While various types of devices collect different types of data, these data are currently only available to the device manufacturers’ internal team of developers. If the device’s manufacturers could make their devices’ body vital data available to 3rd party developers, significantly more health condition prognostics can be derived from trustworthy and intelligent algorithmic analysis. The decoupling of body sensor devices and intelligent algorithmic analysis of body vital data will accelerate independent and innovative growth in each of the areas. In this research, we will conduct comprehensive market research of commercial wearable devices, the APIs, the different collected data, and their digital health applications. We propose to build a platform, Boracle, that will collect data from any wearable devices, integrate the data and use big data technologies for intelligent analysis, and provide supporting services for both individual users and help app developers to create health condition prognostics. Borable will facilitate the intereoperability between applications and wearable body sensor devices and help end-users to improve their medical IQ/EQ and democratize accessibility to medical prognostics.

Motivation/Research Problem

Noninvasive, mass-market, affordable, wearable, body sensor technology will continue its rapid evolution with more capabilities to deliver richer body vital data. If the body vital data from these wearable devices is made available to 3rd party developers, more health condition prognostics can be derived from trustworthy and intelligent algorithmic analysis. The decoupling of body sensor devices and intelligent algorithmic analysis of body vital data will accelerate independent and innovative growth in each of the areas. Data privacy has been a major concern for health monitoring. It is critical that the individual consumer has complete rights to his/her personal health dataset and in total controls of what digital health application and/or organization can have access to this data.