XR-based Caregiver Task Assistance through 3D Human Pose Recognition in Intelligent Spaces

This study proposes a caregiver task assistance system using XR devices based on task recognition with 3D human pose estimation in an Intelligent Space. The system integrates spatial memory for organizing digital data, a 3D model for accurate caregiver posture recognition, and an AR device for real-time task guidance. Experiments with simulated care tasks demonstrated the system's effectiveness in reducing caregivers' anxiety about forgetting subtasks and improving overall task performance. Future work will focus on verifying the system's usefulness for elderly caregivers.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10906008
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

XR-based Caregiver Task Assistance through 3D Human Pose Recognition in Intelligent Spaces

Atsushi Sugimoto, Mihoko Niitsuma
1 citations
Robotics and Automated Systems
0.33
article

XR-based Caregiver Task Assistance through 3D Human Pose Recognition in Intelligent Spaces

Atsushi Sugimoto, Mihoko Niitsuma
article en
1 citations

Abstract

This study proposes a caregiver task assistance system using XR devices based on task recognition with 3D human pose estimation in an Intelligent Space. The system integrates spatial memory for organizing digital data, a 3D model for accurate caregiver posture recognition, and an AR device for real-time task guidance. Experiments with simulated care tasks demonstrated the system's effectiveness in reducing caregivers' anxiety about forgetting subtasks and improving overall task performance. Future work will focus on verifying the system's usefulness for elderly caregivers.

Chuo University (JP)
Openalex Percentile: Top 36%
Robotics and Automated Systems
0.33
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