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Corey McCall

Doctoral Candidate

Department of Electrical Engineering

Corey McCall


Doctoral Candidate and NSF Graduate Research Fellow at Stanford University researching biomedical electronics and signal processing algorithms for home-based physiological monitoring and diagnostics. My current focus is on non-invasive autonomic activity estimation for epileptic seizure detection and emotion classification. Our goal in these projects is the development of comfortable sensors (non-contact or built into preexisting devices) and the associated signal processing and machine learning algorithms for physiological state classification. I am specifically interested in thermography-based seizure detection methods and physiological emotion classification in the context of video game play. I am currently leading experiments in both of these areas at Stanford Hospital & Clinics and the Stanford Department of Electrical Engineering. I have also recently led a NASA-sponsored project measuring cardiac deconditioning of astronauts in a weightless environment using ballistocardiography.

Research Interests

Medical Instrumentation, Physiological Signal Processing Algorithms, Remote Monitoring, Autonomic Activity Estimation, Affective Computing, Computer Vision, Machine Learning, Embedded Systems



Physiological Emotion Sensing for Gaming
Ongoing (Started 4/2013), Stanford Transducers Lab (PI: Dr. Gregory Kovacs)

This is my main project studying techniques for measuring and classifying the emotional state of a video game players from peripheral physiological signals. We have recently developed a video analysis instrument and modified gamepad that incorporates heart rate (PPG/ECG), respiration (IPG), and hand movement (accelerometer) sensors for estimating autonomic activity triggered by emotions during gameplay. This prototype was shown with Texas Instruments at the International Consumer Electronics Show 2014.
More Info: [Stanford News] [Youtube 1] [Youtube 2]


Thermography-based Seizure Detection
Ongoing (Started 11/2011), Stanford Transducers Lab (PI: Dr. Gregory Kovacs, Dr. Robert Fisher)

Thermal cameras are used to detect seizures in patients at the Stanford Hospital & Clinics Epilepsy Monitoring Unit. Current state-of-the-art seizure detection methods rely on characterizing tonic-clonic motion, or by detecting epileptiform EEG activity. However, not all seizures involve shaking or produce recognizable scalp EEG changes. Thermography can be used to detect temperature change caused by autonomic hyperactivity and the resulting increase in blood flow near exposed skin surfaces.
More Info: [none]


Ballistocardiography-based Hemodynamic Monitoring in Microgravity
8/2012-4/2014, Stanford Transducers Lab (PI: Dr. Gregory Kovacs, Dr. H. Craig. Heller)

We demonstrated the use of a ballistocardiograph (BCG) hemodynamic monitoring scale in microgravity, and its utility for space applications by establishing the correlation between ground-based and microgravity measurements. BCG diagnostic methods, such as monitoring cardiac output, stroke volume change, contractility change, central pressures, and arterial stiffening, are useful to detect well-known cardiovascular physiology changes in weightless environments, where astronauts often return to Earth with microgravity-induced deconditioning. I directed this project in it's second year, organizing a week long experiment with 14 participants aboard NASA's reduced gravity aircraft at Ellington Field Air Force Base.
More Info: [Conference] [Stanford News] [Youtube] [Symposium] [Technical Report]


Feature Selection for Hierarchical Classification
1/2011-9/2011, UCF Computer Vision Lab (PI: Dr. Mubarak Shah)

A hierarchical classifier is able to distinguish between a large number of confusing classes by exploiting the fact that similar classes according to one feature set may be dissimilar according to another, allowing normally confused classes to be grouped and handled separately. However, determining these macro-classes of similarity is not straightforward when the selected feature set has yet to be determined. A new greedy forward selection algorithm is presented to simultaneously determine good macro-classes and the features that best distinguish them in a K-NN hierarchical classifier. The algorithm was tested on the CMU-MMAC dataset, as well as new aerobic action dataset that we collected from a 9-axis smartphone inertial sensor for this project.
More Info: [Conference] [Dataset]


Automated Medication Adherence Monitoring
8/2009-12/2010, UCF Data Systems Group (PI: Dr. Cliff Zou)

An inexpensive home-based medication dispensing and monitoring device was developed to enable outpatients to independently manage a complex medication regimen. In the system, an RFID tag containing a small amount of rewritable memory is fixed to each medication container and updated with the precise weight of the container before and after dispensing medication. An Arduino-based embedded system dynamically builds an efficient dosage schedule and can notify the patient or caregiver via cell phone text message if the patient is late or if there is a dosage noncompliance or inconsistency.
More Info: [Journal] [Conference] [Symposium] [Thesis] [UCF News]


Ph.D., Electrical Engineering, Stanford University, (2016).
M.S., Electrical Engineering, Stanford University, 2013.
B.S., Computer Engineering, University of Central Florida, 2011.


[Google Scholar Link]

Peer-Reviewed Journal Articles

C. McCall, B. Maynes, C. Zou, N. Zhang, "An Automatic Medication Self-management and Monitoring System for Independently Living Patients," Medical Engineering & Physics 35:4, April 2013.

Peer-Reviewed Conference Proceedings

C. McCall, Zachary Stuart, Richard M. Wiard, Omer T. Inan, Laurent Giovangrandi, Charles Marsh Cuttino, Gregory T.A. Kovacs "Standing Ballistocardiography Measurements in Microgravity," Proc. of IEEE Engineering in Medicine and Biology Conference, Chicaco, IL, 2014.

C. McCall, K. Reddy, M. Shah "Macro-class Selection for Hierarchical K-NN Classification of Inertial Sensor Data,"Proc. of Pervasive and Embedded Computing and Communication Systems Conference, Rome, Italy, 2012.
[Article] [PDF:Slides]

C. McCall, B. Maynes, C. Zou, N. Zhang, "RMAIS: RFID-based Medication Adherence Intelligence System," Proc. of IEEE Engineering in Medicine and Biology Conference, Buenos Aires, Argentina, 2010.
[Article] [PDF:Slides]

Other Presentations

C. McCall, Z. Stuart, R. M. Wiard, O. T. Inan, L. Giovangrandi, C. M. Cuttino, G. T. A. Kovacs., "Ballistocardiography for Monitoring Cardiovascular Deconditioning in Long-Duration Missions," NASA Innovative Advanced Concepts (NIAC) Symposium, Stanford, CA, 2014.

C. McCall, "Discriminative Ensemble Averaging for Accelerated Denoising," Technical Report. Stanford CS229: Machine Learning Final Project, Stanford, CA, 2013.
[PDF:Article] [PDF:Poster]

C. McCall, B. Maynes, C. Zou, N. Zhang, "A Prototype Device that Implements RFID and Remote Monitoring Technology to Track Medications for Elderly Healthcare Patients," UCF Showcase for Undergraduate Research Excellence, Orlando, FL, 2010.

C. McCall, "An Automatic Medication Management System for Independently Living Healthcare Patients," Undergraduate Honors in the Major Thesis, UCF Department of Electrical Engineering and Computer Science, Orlando, FL, 2010.
[Article] [PDF:Slides]

Distinctions and Awards

Honorable Mention Poster Award, UCF Showcase for Undergraduate Research. Awarded for poster "A Prototype Device that Implements RFID and Remote Monitoring Technology to Track Medications for Elderly Healthcare Patients" (3 awards of 33 applicants). 2010.

Invention Competition Winner, UCF Inventing Entrepreneurs Innovation Competition. Awarded for best product prototype (first place of ~20 applicants). 2010.

Grants and Scholarships

Research Assistantship Grant (Annual), Texas Instruments. Awarded for research conducted with Dr. Gregory Kovacs at Stanford. 2012-2014

Graduate Research Fellowship (3 years), National Science Foundation. Awarded for research conducted with Dr. Gregory Kovacs at Stanford (2,000 awards of 12,000 applicants). 2011.

Research Experiences for Undergraduates (REU) Grant, National Science Foundation. Awarded for undergraduate research conducted with Dr. Mubarak Shah at UCF. 2011.

"Inventing Entrepreneurship" Grant, National Collegiate Inventors and Innovators Alliance. Awarded for invention of medication monitoring device. 2010.

Honors College Scholarship, UCF Burnett Honors College. Awarded for best undergraduate research project in UCF Computer Engineering department. 2009.

Research Experiences for Undergraduates (REU) Grant, National Science Foundation. Awarded for undergraduate research conducted with Dr. Cliff Zou at UCF. 2009.

Professional Involvement

Society Memberships

  • Institute of Electrical and Electronics Engineers (IEEE)
  • IEEE Engineering in Medicine & Biology Society (EMBS)

Paper Reviewer

  • IEEE Journal of Biomedical and Health Informatics (JBHI) (Formally Transactions on Information Technology in Biomedicine), 2014.
  • IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, 2013.

Undergraduate Mentor, Stanford Transducers Lab, Stanford, California. Mentored 4 Stanford undergraduate students working on electronics and signal processing projects for 12 months. 2012.

Conference Session Chair Invitation (Embedded Systems Design). International Conference on Pervasive and Embedded Computing and Communications Systems Conference (PECCS), Rome, Italy, 2012.

Work Experience

Research Assistant
, Stanford Transducers Lab, Stanford, CA.

Teaching Assistant (Intro to Electronics)
, Stanford Department of Electrical Engineering, Stanford, CA.

Research Assistant
, UCF Computer Vision Lab, Orlando, FL.

Teaching Assistant (Computer Networking)
, UCF College of Engineering and Computer Science, Orlando, FL.

Tutor (Engineering and Computer Science)
, UCF College of Engineering and Computer Science, Orlando, FL.

Research Assistant
, UCF Data Systems Group, Orlando, FL.

Student Organization Founder/President
, UCF Student Chapter of International Council on Systems Engineering, Orlando, FL.

Internship (Web Development)
, Florida Department of Transportation, Ft. Lauderdale, FL.

Contact Information

Stanford University
Allen Building
Room 218X
Stanford, CA 94305

Email: cmccall "at" stanford "dot" edu