Intelligent Bed Robot System: Pose Estimation Using Sensor Distribution Mattress

Seo, Kap-Ho; Oh, Chang Woo; Lee, Ju-Jang

doi:10.1109/robio.2004.1521891

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Markerless estimation of patient orientation, posture and pose using range and pressure imaging

et al. 2012

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The results indicate that an estimation of the patient's position, orientation, posture and pose using RI and PI sensors, respectively, is feasible, and beneficial for optimizing the workflow in diagnostic tomographic imaging. Both modalities achieved comparable pose estimation results using different models that account for modality-specific characteristics. PI outperforms RI in discriminating between prone and supine postures due to the distinctive pressure distribution of the human body.

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