EE - Electrodermal Activity Sensor Development and Signal Processing

In this project, we will develop a wearable Electrodermal Activity sensor with textile electrodes. We will focus on:

  1. The design of effective electrodes;
  2. Signal transmission and quality;
  3. Signal processing and feature extraction;
  4. Understand the mechanism of motion artifacts and design artifact reduction methods.

The sensor will be used for mental stress detection. If the student makes fast progress and is interested in this detection part, we can extend the project to include:

  1. Design and development of stress detection machine learning models.
  2. Pilot tests with human subjects.

The student will work in Zheng's lab under her supervision and guidance. Equipment, devices, supplies, and a lab computer will be provided. The student is responsible for:

  1. Self-motivated independent learning;
  2. Follow research and safety protocols;
  3. Draft detailed progress reports and project documentation (update at least weekly);
  4. Collaborate with PhD students as needed;
  5. Back up data and code.
Name of research group, project, or lab
The Intelligent Interaction Research Lab
Why join this research group or lab?
The Intelligent Interaction Research (I2R) Lab develops advanced interactive technologies to help individuals with mental/cognitive challenges. Currently, we focus on human-machine interaction research for individuals on the autism spectrum and older adults with Alzheimer's Disease and Related dementia (ADRD).

We are a group of engineers who work closely with psychologists, cognitive scientists, social workers, and nursing experts.

Although we spend much time developing technologies in an engineering lab, we also emphasize communication with patients, caregivers, and healthcare providers.

We believe interactive technology will eventually be a key factor in addressing current difficulties in behavioral health. We hope our efforts will improve the quality of life. We want to see more laughter, happiness, care, and humanity.

Logistics Information:
Project categories
Electrical Engineering
Student ranks applicable
Junior
Senior
Student qualifications

Preference may be given to students with experience in one or more of the following: 

1. Embedded Systems and PCB design.

2. Digital Signal Processing.

3. Kinova robot arm (or other commercial robot arms) operation.

4. Engineering of Biomedical Devices or Medical Instrumentation.

 

Hours per week
3 credits / 12+ hours
Compensation
Research for Credit
Number of openings
1
Techniques learned

Biopotential sensor development.

Robot arm control.

Physiological signal processing.

 

Project start
Spring 2025
Contact Information:
Mentors
zzheng3@nd.edu
Assistant Professor
rls@nd.edu
Name of project director or principal investigator
Zhi Zheng
Email address of project director or principal investigator
zzheng3@nd.edu
1 sp. | 0 appl.
Hours per week
3 credits / 12+ hours
Project categories
Electrical Engineering