Mouse_Kinematics_An​alysis_Toolbox

Computes various mouse kinematic data analysis measures

The Mouse Kinematics Analysis Toolbox (MKAT) is a set of functions which compute various kinematic analysis measures on computer mouse trjaectory data. This is available for other languages in the public domain, but not yet Matlab. This was created for a PSYC 4010 directed study course project.

This toolbox was created for analysis of within-subject cognitive behavioural data in a directed forgetting task, specifically where data is split into six separate conditions (r = to be remembered; f = to be forgotten; l = foil word), (yes = have seen the word before; no = have not seen the word before) (r_yes, r_no, f_yes, f_no, l_yes, l_no). After being loaded in and split into six condition cells, data is normalized both spatially and by time to be used for different analyses, and reduced to 100 samples per trial. All analyses are done for all trials per condition, and data is stored separately for each condition, and within that, each trial.

Functions within this toolbox:

load_participant_data

load_all_participant_data

split_trials_by_condition

normalize_trajectory

plot_velocity_profile_condition

quality_assurance

plot_QA_heatmap

TotalTime

ReactionTime

MovementTime

peak_velocity_acceleration

TimeToPeakVelocity

DecelerationTime

AreaUnderCurve

MaxAbsDeviation

AverageDeviation

XFlips

SampleEntropy2D

plot_trajectory_heatmap

plot_x_minus_ideal