Standing Subject Strategies in Psychophysical Movement Detection

Shahrokh Sani1

  • 1Morehead State University

Details

13:25 - 14:15 | Thu 16 Feb | Ballroom D | ThRPF.9

Session: Rapid Fire Session 02: Sensor Informatics I

Abstract

standing blindfolded subject psychophysical movement detection strategies were studied by analyzing the changes in his/her biomechanical variable (head acceleration) that correlate with the ability to correctly detect small translational perturbations of the movement platform. The time-series head acceleration data provided a measure of postural stability and a clear indication of postural control response that can be directly correlated with the stimulus. Studying the biomechanical and psychophysical responses together enabled to discriminate correct responses from potential guesses. To compare the biomechanical response to psychophysical response it was necessary to find any abnormality in the biomechanical response (head acceleration) that related to the platform movement. For this purpose, a novel method based on Adaptive Neural Fuzzy Inference Systems (ANFIS) is applied to identify the abnormality present in the head acceleration data that related to external perturbation. The detected abnormality could serve as a starting point to design any model for predicting external perturbation detection based on head acceleration data.