BORACLE – The Oracle for Your Body

Research Team

Lead Researchers:

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

Collaborators:

• Mr. Trung Dung, Industry
• Peter Washington, University of Hawaiʻi at Mānoa
• Trang Le Hong, Ho Chi Minh City University of Technology

Student Team:

• Toan Pham (2025 ARCS Fellow), BS Comp Sci at NCSU*
• Spencer J.H. Yang, MS Data Analytics at Oregon State*
• Brandon Ismalej, Patrick Prayoonpruk, Maxwell Kozlov, Ridham Patel, Mishek Sambahangphe (Comp Science 2024-2025 Senior Design Team)*
• Jose Villalobos, Alana Murry, Joshua Itchon, Amy Cardenas (Comp Science 2024-2025 Senior Design Team)*
• Bihn Nguyen, Tong Luong, Anh Nguyen (Ho Chi Minh City University of Technology)*
• Bhumil Kukadiya, Pranati Jamalpuri, Abhinav Neelam (MS Comp Sci)*
• Matthew Smith (2024 ARCS Fellow), MS Comp Sci
• Stephen Reilly, David Antonio Pedroza, Miles Kaddoura (BS Comp Sci)
• Neha Ananthavaram, 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, Taguhi Yenokyan (B.S. in Computer Science)
• Christopher Pishaki, Paige Watanabe, Arfan Myint, Joseph Held (Computer Science 2023-2024 Senior Design Team)
• Jacob Solorzano, B.S. in Psychobiology at UCLA
• Justin Ho*, B.S in Business Administration
• Xinyi Wang, B.A. in Arts
• Anthony Bernal, Georgina Argueta, Diego Martinez (B.S. in Public Health)
• Daniel Carter, B.A. in Economics
• Junhe Chen, B.S in Computer Science
• Mayur Rahangdale, Mohammad Shaik, Subhobrata Chakraborty (M.S. in Computer Science)

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

Funding

• Funding Organization:
• Funding Program: CSUN Campus Funding Initiative

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.