CVNov 24, 2021

Cross Your Body: A Cognitive Assessment System for Children

arXiv:2111.12824v1
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of automating cognitive assessment for children, particularly in detecting ADHD-related executive functioning, but it is incremental as it focuses on applying existing methods to new data.

The paper tackles the challenge of applying action recognition to real-world cognitive assessment in children, creating a unique dataset from psychologist-designed tasks and evaluating existing methods on it.

While many action recognition techniques have great success on public benchmarks, such performance is not necessarily replicated in real-world scenarios, where the data comes from specific application requirements. The specific real-world application that we are focusing on in this paper is cognitive assessment in children using cognitively demanding physical tasks. We created a system called Cross-Your-Body and recorded data, which is unique in several aspects, including the fact that the tasks have been designed by psychologists, the subjects are children, and the videos capture real-world usage, as they record children performing tasks during real-world assessment by psychologists. Other distinguishing features of our system is that it's scores can directly be translated to measure executive functioning which is one of the key factor to distinguish onset of ADHD in adolescent kids. Due to imprecise execution of actions performed by children, and the presence of fine-grained motion patterns, we systematically investigate and evaluate relevant methods on the recorded data. It is our goal that this system will be useful in advancing research in cognitive assessment of kids.

Foundations

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