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:
- The design of effective electrodes;
- Signal transmission and quality;
- Signal processing and feature extraction;
- 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:
- Design and development of stress detection machine learning models.
- 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:
- Self-motivated independent learning;
- Follow research and safety protocols;
- Draft detailed progress reports and project documentation (update at least weekly);
- Collaborate with PhD students as needed;
- Back up data and code.
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.