Real-time location of acupuncture points based on anatomical landmarks and pose estimation models

These AI-driven methods establish a solid foundation for the automated localization of acupoints, enhancing both self-guided and professional acupuncture practices. By enabling precise, real-time localization of acupoints, these technologies could improve the accuracy of treatments, facilitate self-training, and increase the accessibility of acupuncture. Future developments could expand these models to include additional acupoints and incorporate them into intuitive applications for broader use.

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Institutions

Publication Details

Journal
Frontiers in Neurorobotics
Published
2024-11-08
DOI
https://doi.org/10.3389/fnbot.2024.1484038
Citations
15
Primary Topic
Acupuncture Treatment Research Studies
Type
article
Field-Weighted Citation Impact
10.74

Funders

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Real-time location of acupuncture points based on anatomical landmarks and pose estimation models

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Real-time location of acupuncture points based on anatomical landmarks and pose estimation models

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article en
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Abstract

These AI-driven methods establish a solid foundation for the automated localization of acupoints, enhancing both self-guided and professional acupuncture practices. By enabling precise, real-time localization of acupoints, these technologies could improve the accuracy of treatments, facilitate self-training, and increase the accessibility of acupuncture. Future developments could expand these models to include additional acupoints and incorporate them into intuitive applications for broader use.

Frontiers in NeuroroboticsVol. 18
Dongshin University (KR), Pukyong National University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 1%
Acupuncture Treatment Research Studies
10.74
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