# Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

## TL;DR

This paper enhances the CogniLearn system's motion analysis for the HTKS cognitive assessment, significantly improving its accuracy in recognizing specific child responses from 76.46% to 97.19%.

## Contribution

The paper introduces specific improvements to the motion analysis module, increasing recognition accuracy in the CogniLearn system for HTKS assessments.

## Key findings

- Recognition accuracy for touching toes increased from 76.46% to 97.19%.
- Improved motion analysis leads to more reliable cognitive behavior assessment.
- Enhancements demonstrate the system's potential for better child response detection.

## Abstract

HTKS is a game-like cognitive assessment method, designed for children between four and eight years of age. During the HTKS assessment, a child responds to a sequence of requests, such as "touch your head" or "touch your toes". The cognitive challenge stems from the fact that the children are instructed to interpret these requests not literally, but by touching a different body part than the one stated. In prior work, we have developed the CogniLearn system, that captures data from subjects performing the HTKS game, and analyzes the motion of the subjects. In this paper we propose some specific improvements that make the motion analysis module more accurate. As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76.46% in our previous work to 97.19% in this paper.