DeepAI AI Chat
Log In Sign Up

Automated system to measure Tandem Gait to assess executive functions in children

12/15/2020
by   Mohammad Zaki Zadeh, et al.
14

As mobile technologies have become ubiquitous in recent years, computer-based cognitive tests have become more popular and efficient. In this work, we focus on assessing motor function in children by analyzing their gait movements. Although there has been a lot of research on designing automated assessment systems for gait analysis, most of these efforts use obtrusive wearable sensors for measuring body movements. We have devised a computer vision-based assessment system that only requires a camera which makes it easier to employ in school or home environments. A dataset has been created with 27 children performing the test. Furthermore in order to improve the accuracy of the system, a deep learning based model was pre-trained on NTU-RGB+D 120 dataset and then it was fine-tuned on our gait dataset. The results highlight the efficacy of proposed work for automating the assessment of children's performances by achieving 76.61

READ FULL TEXT

page 1

page 2

09/10/2022

Shape Analysis for Pediatric Upper Body Motor Function Assessment

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duche...
01/28/2022

Generative GaitNet

Understanding the relation between anatomy andgait is key to successful ...
11/24/2021

Cross Your Body: A Cognitive Assessment System for Children

While many action recognition techniques have great success on public be...
03/25/2017

Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

HTKS is a game-like cognitive assessment method, designed for children b...
10/25/2012

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

The early detection of developmental disorders is key to child outcome, ...