Abstract
This study assessed whether data collected while a participant was intentionally moving is of the same quality as data collected from a motionless participant via fNIRS (functional near-infrared spectroscopy). This study was a within-subjects design with 3 head-movement conditions (no head-movement, low head-movement, and high head-movement). Data was recorded via the fNIRS system as well as an app called VibSensor, which recorded head movement on the X, Y, and Z planes. Results for the behavioral data indicated significance only on the Y plane across the no and high movement conditions and one significant channel for the fNIRS data.
Thesis Completion
2019
Semester
Fall
Thesis Chair/Advisor
Bohil, Corey
Degree
Bachelor of Science (B.S.)
College
College of Sciences
Department
Psychology
Language
English
Access Status
Campus Access
Length of Campus-only Access
5 years
Release Date
12-1-2024
Recommended Citation
Soares, Shayna, "Data Quality of Motion Research Utilizing fNIRS" (2019). Honors Undergraduate Theses. 618.
https://stars.library.ucf.edu/honorstheses/618