A wireless human pose detection method based on digital twin and inertial sensor

Zheng, Huaijin

doi:10.1109/iaecst54258.2021.9695613

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…These results were verified by placing the same sensors on a six-axis robotic arm, which moved in a predetermined trajectory. The digital twin’s movement was nearly identical to the path traveled by the robotic arm [ 57 ]. Similar results have been found utilizing a robot exoskeleton to measure the movement of the wearer’s arm [ 58 ].…”

Section: Healthcare Digital Twinmentioning

confidence: 99%

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Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

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Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.

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Section: Healthcare Digital Twinmentioning

confidence: 99%

“…Heart rate to detect abnormalities such as arrhythmia A digital twin was created based on ECG data that could identify and diagnose heart problems in real time for the patient [57] To generate a human twin that can be used to detect certain poses of the subject Inertial (9-axis motion tracking system)…”

Section: Tracks Movement and Positionmentioning

confidence: 99%