Facial Expression-Based Evaluation of the Emotion Estimation Software Kokoro Sensor in Healthy Individuals: Validation and Reliability Pilot Study.

ABSTRACT:

Background

In recent years, artificial intelligence (AI) systems have increasingly been used to assess emotional states in health care. AI offers a safe, quick, user-friendly, and objective emotional evaluation method. However, evidence supporting its implementation in health care remains limited.

Objective

This study aimed to explore the concurrent validity and test-retest reliability of emotion recognition AI based on facial expressions.

Methods

In this study, we used the Kokoro Sensor, an accurate and widely recognized automated facial expression recognition system. The Japanese version of the Profile of Mood States-Short Form was used to screen the potential influence of mental states on facial expressions. The study participants made positive, negative, and neutr

SUBMITTER: Yoshihara S 

PROVIDER: S-EPMC12945095 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature