<ul data-eligibleForWebStory="true"><li>Human Activity Recognition (HAR) using data from Inertial Measurement Unit (IMU) sensors has practical applications in healthcare and assisted living environments.</li><li>Zero-shot HAR (ZS-HAR) addresses data limitations in HAR models but lacks transparency in decision-making.</li><li>A new IMU-based ZS-HAR model called SEZ-HARN provides explanations for decision-making by offering skeleton videos.</li><li>SEZ-HARN achieves competitive Zero-shot recognition accuracy and realistic explanations on benchmark datasets.</li></ul>

SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network

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