NAM NGOC BUI Academic Personal Webpage
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ABOUT

PERSONAL DETAILS
1111 Engineering Dr,Boulder, Colorado
nam.bui@colorado.edu
(303) 735-4448

I’m a PhD. student at University of Colorado Boulder.
My research interests are Mobile Health Care Optical Sensing System Human Activity Recognition Deep Neural Networks
Welcome to my Personal and Academic profile
Nam Bui

BIO

ABOUT ME

I am a PhD student in Mobile and Networked System Lab supervised by Prof. Tam Vu at the University of Colorado Boulder.
► I obtained my B.S from the University of Science in Ho Chi Minh City.
► I received the M.S degree in Computer Science and Entrepreneurship at the University of Nottingham.
► The following prizes have been awarded to my works: Best Paper Nominee (ACM SenSys 2017), Best Paper Award (ACM MobiCom-S3 2017-2018), 2nd prize (ACM MobiCom'17 App Contest).

HOBBIES

INTERESTS

Stunning photos I took during my travells.


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PUBLICATIONS

PUBLICATIONS LIST
TYTH-Typing On Your Teeth: Tongue-Teeth Localization for Human-Computer Interface
ACM MobiSys 2018

(37 out of 138 submissions, acceptance ratio: 26.8%).

Phuc Nguyen, Nam Bui, Anh Nguyen, Hoang Truong, Abhijit Suresh, Matthew Whitlock, Duy Pham, Thang Dinh, and Tam Vu PDF Demo
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TYTH-Typing On Your Teeth: Tongue-Teeth Localization for Human-Computer Interface

Phuc Nguyen, Nam Bui, Anh Nguyen, Hoang Truong, Abhijit Suresh, Matthew Whitlock, Duy Pham, Thang Dinh, and Tam Vu PDF Demo

This paper explores a new wearable system, called TYTH, that enables a novel form of human computer interaction based on the relative location and interaction between the user’s tongue and teeth. TYTH allows its user to interact with a computing system by tapping on their teeth. This form of interaction is analogous to using a finger to type on a keypad except that the tongue substitutes for the finger and the teeth for the keyboard. We study the neurological and anatomical structures of the tongue to design TYTH so that the obtrusiveness and social awkwardness caused by the wearable is minimized while maximizing its accuracy and sensing sensitivity. From behind the user’s ears, TYTH senses the brain signals and muscle signals that control tongue movement sent from the brain and captures the miniature skin surface deformation caused by tongue movement. We model the relationship between tongue movement and the signals recorded, from which a tongue localization technique and tongue-teeth tapping detection technique are derived. Through a prototyping implementation and an evaluation with 15 subjects, we show that TYTH can be used as a form of hands-free human computer interaction with 88.61% detection rate and promising adoption rate by users.

PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light
ACM SenSys 2017

(26 out of 151 submissions, acceptance ratio: 17.2%).

Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding and Tam Vu Best Paper Award Nominee 2017 2nd Prize ACM MobiCom 2017 App Contest
PDF Demo
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PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light

Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding and Tam Vu Best Paper Award Nominee 2017 2nd Prize ACM MobiCom 2017 App Contest
PDF Demo

Accurately measuring and monitoring patient's blood oxygen level plays a critical role in today's clinical diagnosis and healthcare practices. Existing techniques however either require a dedicated hardware or produce inaccurate measurements. To fill in this gap, we propose a phone-based oxygen level estimation system, called PhO2, using camera and flashlight functions that are readily available on today's off-the-shelf smart phones. Since phone's camera and flashlight are not made for this purpose, utilizing them for oxygen level estimation poses many challenges. We introduce a cost-effective add-on together with a set of algorithms for spatial and spectral optical signal modulation to amplify the optical signal of interest while minimizing noise. A light-based pressure detection algorithm and feedback mechanism are also proposed to mitigate the negative impacts of user's behavior during the measurement. We also derive a non-linear referencing model that allows PhO2 to estimate the oxygen level from color intensity ratios produced by smartphone's camera.
An evaluation using a custom-built optical element on COTS smartphone with 6 subjects shows that PhO2 can estimate the oxygen saturation within 3.5% error rate comparing to FDA-approved gold standard pulse oximetry. A user study to gauge the reception of PhO2 shows that users are comfortable self-operating the device, and willing to carry the device when going out.

Photometry based Blood Oxygen Estimation through Smartphone Cameras
ACM MobiCom 2017 - S3 Workshop Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding and Tam Vu
Best Paper Award
PDF
DEMO: Low-power Capacitive Sensing Wristband for Hand Gesture Recognition
ACM MobiCom 2017 - S3 Workshop
Hoang Truong, Phuc Nguyen, Anh Nguyen, Nam Bui, and Tam Vu
PDF
Capacitive sensing 3D-printed Wristband for Enriched Hand Gesture Recognition
ACM MobiSys-WearSys 2017
Hoang Truong, Phuc Nguyen, Anh Nguyen, Nam Bui, and Tam Vu
Best Senior Design Project in College of Engineering at CU Denver in 2016.
PDF
Predicting Asthma Severity Using Machine Learning Algorithms: A Pilot Study
American Thoracic Society 2017 International Conference
Amanda Messinger, Bui Nam, Tam Vu, Robin Deterding
PDF
A non-linear GMM KL and GUMI kernel for SVM using GMM-UBM supervector in home acoustic event classification
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Ngoc Nam Bui, Jin Young Kim, Tan Dat Trinh
PDF
A new cbir system using sift combined with neural network and graph-based segmentation
ACIIDS 2010
Nguyen Duc Anh, Bui Ngoc Nam, Nguyen Huy Hoang
PDF
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RESUME

  • EDUCATION
  • 2017
    now
    Boulder, CO

    COMPUTER SCIENCE - PHD

    UNIVERSITY OF COLORADO, BOULDER

    Advisor: Prof. Tam Vu
  • 2016
    2017
    Denver, CO

    ELECTRONICS ENGINEERING

    UNIVERSITY OF COLORADO, DENVER

    Advisor: Prof. Tam Vu.
  • 2011
    2012
    Malaysia

    COMPUTER SCIENCE AND ENTREPRENEURSHIP

    THE UNIVERSITY OF NOTTINGHAM - Master

    Advisor: Prof. Tomas Maul.
  • 2005
    2009
    Vietnam

    MATHEMATICS AND COMPUTER SCIENCE

    UNIVERSITY OF SCIENCE - Bachelor

    Advisor: Prof. The-Bao Pham
  • ACADEMIC AND PROFESSIONAL POSITIONS
  • 2013
    2016
    Gwangju, Korea

    GRADUATE STUDENT RESEARCHER

    CHONNAM NATIONAL UNIVERSITY

    Advisor: Prof. Jin-young Kim
  • 2009
    2010
    Vietnam

    LAB ASSISTANT

    UNIVERSITY OF SCIENCE HCMC

    Advisor: Prof. The-Bao Pham.
  • 2008
    2009
    Vietnam

    RESEARCH ASSISTANT

    UNIVERSITY OF SCIENCE HCMC

    Advisor: Prof. The-Bao Pham.
  • HONORS AND AWARDS

  • ► Best Paper Award Nominee, ACM SenSys 2017.
    ► 2nd prize at to ACM MobiCom'17 App Contest.
    ► Best Paper Award, ACM MobiCom-S3 (Oct. 2017).
    ► Awarded Excellent Oral Presentation at ISIPS 2015, Waseda University, Japan.
    ► Awarded Excellent Poster Presentation at ISIPS 2014, Waseda University, Japan.
    ► Funding recipient of Nationwide Brain Korea 21 Program for Leading Universities & Students (BK21 PLUS) to publish at least one SCI/SCIE scientific journal per year from 2013 to 2016.
    ► Recipient of the Information Technology Research Center (ITRC) Scholarship (from 2013~2016).
    ► Recipient of University of Nottingham Malaysia Campus 2010 Developing Solutions Masters Scholarship.
    ► Student’s science research contest – Mathematics and Computer Sciences: Winner (Final year 2008-2009).
    ► The adventure of finding solution – Mathematics and Computer Sciences: 2nd runner up (1st year 2005-2006).
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RESEARCH

MOBILEOX

Blood Oxygen Level Measurement System Using Smartphone Camera

In this project, we propose a phone-based oxygen level estimation system using camera that are readily available on today’s off-the-shelf smart phones. Since phone’s camera is not made for this purpose, utilizing it for oxygen level estimation poses many challenges. We introduce a cost-effective add-on together with a set of algorithms for spatial and spectral optical signal modulation to amplify the optical signal of interest while minimizing noise. A light-based pressure detection algorithm and feedback mechanism are also proposed to mitigate the negative impacts of user’s behavior during the measurement. We also derive a non-linear referencing model that allows our system to estimate the oxygen level from color intensity ratios produced by smartphone’s camera.

Authors


► Nam Bui
► Anh Nguyen
► Phuc Nguyen
► Hoang Truong
► Robin Deterding
► Tam Vu (Advisor)

Related Pictures

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PhO2 and its general view for SpO2 measurement. (a) A person is placing his index finger on PhO2 add-on to check his SpO2 level. (b) A back view of PhO2 use in which the add-on covers the phone’s flashlight and back camera and a zoomed-in visualization of how PhO2 works.

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Ph02 hardware design (3D model - led, Prototype - right).

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Experiment setup to compare PhO2 with other 4 pulse oximeters.

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Fine-grained evaluation on prediction of oxygen level of 6 participants.