Characterization of Intrinsic Visual Biases in Arm Position Estimation
Biomedical Engineering
Daniel Foster
Abstract
This project, Characterization of Intrinsic Visual Biases in Arm Position Estimation, examines how visual information influences the brain’s estimate of arm position during movement planning under changing visual conditions. Using the KINARM End-Point robotic system, participants performed center-out reaching tasks while a visual hand cue was systematically shifted across multiple magnitudes.
By analyzing movement errors and reverse-engineering position estimates, intrinsic visual biases were identified for all participants across the different visual shift conditions to determine subject-specific patterns and overall trends.