Browse by author
Lookup NU author(s): Claire Marcroft,
Professor Nicholas EmbletonORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 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.
Author(s): Ho ESL, McCay KD, Marcroft C, Embleton ND
Publication type: Article
Publication status: Published
Journal: Software Impacts
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
Altmetrics provided by Altmetric