UROP Project

Smart Clothing, Wearable Technology, Health

Research Mentor: Te-Yen Wu,
Department, College, Affiliation: Computer Science Department, Arts and Sciences
Contact Email: tw23l@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Computer Science, Electrical Engineering, Bio-medicine
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: In-person
Approximate Weekly Hours: 10,
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

The project aims to develop Smart Kangaroo Clothing to non-invasively monitor and analyze infant feeding behaviors, specifically intake, sucking and swallowing patterns, enhancing neonatal health and development. By integrating advanced sensors into comfortable, durable textiles, the clothing will collect real-time data on feeding and physiological parameters. Machine learning algorithms will analyze this data to provide actionable insights. Clinical trials will validate the accuracy and reliability of the system. This innovative wearable technology will bridge the gap between traditional kangaroo care and modern biomedical monitoring, offering a novel solution for continuous, real-time infant feeding analysis.

Research Tasks: 1. Design and Fabrication:
Develop and prototype smart textiles integrated with sensors.
Ensure the clothing is comfortable, safe, and suitable for infants.
2. Sensor Integration:
Integrate sensors to monitor sucking strength, frequency, intake volume, and physiological parameters.
Develop algorithms for accurate data interpretation.
3. Data Collection:
Conduct experiments to collect real-time feeding and physiological data from infants.
Ensure ethical standards and protocols are followed.
4. Data Analysis:
Use machine learning and data analytics to analyze collected data.
Identify patterns and potential issues in infant feeding behaviors.
5. Validation and Testing:
Conduct clinical trials to validate the technology's accuracy and reliability.
Compare results with existing monitoring methods.


Skills that research assistant(s) may need: 1. Basic Programming:
Experience with basic coding (e.g., Python).
2. Data Entry and Analysis:
Ability to enter and manage data accurately.
Basic data analysis skills using tools like Excel.
3, Technical Aptitude:
Interested in basic electronics and sensor technology.