Metacognitive-error-correction

Links

Paper: https://arxiv.org/abs/2308.14250

Dataset can be download here

Table of Contents

1. Introduction
2. Usage
3. Bibtex
4. License
5. Contact

Introduction

This is the repo for paper Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification

Usage

LabelMatrix-TimeDays-TrajectrotyMatrix.py data process step 1

Instance_Creation_sequence1.py data process step 2

special_LRCN_data.py generate train, valid, test data

train_predict.py train and test the model

speed_rule.py speed rule

rule_out.py improve the model performance through rule.

If you only want to use the rule_out.py file, just run this command:

python rule_out.py LRCN_F1_no_overlap_sequential no_overlap_sequential_10

LRCN_F1_no_overlap_sequential is the results(labels) from neural network

no_overlap_sequential_10 is the rule These two folders have more files than "python rule_out.py" needs, so just use the files that are needed.

Bibtex

License

Contact

Bowen Xi - bowenxi@asu.edu Paulo Shakarian - pshak02@asu.edu