ePrints

PCPP: A MATLAB application for abnormal infant movement detection from video [Formula presented]

Lookup NU author(s): Claire Marcroft, Professor Nicholas EmbletonORCiD

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2022 The Author(s). PCPP is an application developed in MATLAB, for the detection of abnormal infant movements associated with cerebral palsy. This system uses 2D skeletal data extracted from videos, and consists of a full pipeline providing data pre-processing, data normalization, feature extraction and classification. Evaluation metrics, such as accuracy, sensitivity, specificity, F1 score and Matthews Correlation Coefficient (MCC), are computed to facilitate full assessment of performance and allow for comparison with other methods from the literature. These evaluations are conducted on the MINI-RGBD and RVI-38 datasets using the code and data provided.

Publication metadata

Author(s): Ho ESL, McCay KD, Marcroft C, Embleton ND

Publication type: Article

Publication status: Published

Journal: Software Impacts

Year: 2022

Volume: 14

Print publication date: 01/11/2022

Online publication date: 19/08/2022

Acceptance date: 10/08/2022

Date deposited: 03/07/2023

ISSN (electronic): 2665-9638

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.simpa.2022.100412

DOI: 10.1016/j.simpa.2022.100412

Altmetrics

Share