BodyMap

Jang, Sam; Huang, Lijie; Bartipan, Tomas

doi:10.1145/3450615.3464527

Cited by 6 publications

(5 citation statements)

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“…Recently, many works have solved the above problem by directly minimizing the geodesic distances between corresponding 3D vertices, such as CSE [18], Human GPS [17], and BodyMap [22]. Since the mapping from IUV to vertices Algorithm 1 Pseudocode of IUV Extracting.…”

Section: B Geodesic Distance-based Optimizationmentioning

confidence: 99%

“…These embeddings facilitate the direct utilization of geodesic distances between corresponding 3D vertices as the loss function. [22] then extended CSE to other non-rigid objects, such as animals. Human GPS [17] also maps each pixel to an embedding, where the embedding distances reflect the geodesic distances.…”

Section: Detach();mentioning

confidence: 99%

“…It designs four geodesic losses to push features apart according to their geodesic distances on the surface. BodyMap [22] takes the CSE prediction as input and builds a transformer-based architecture to provide a finer correspondence. However, all these methods necessitates a predefined human embedding model, and perhaps owing to the heightened task complexity and reduced interpretability, the embedding setting fails to yield significant performance improvements within the existing model architecture.…”

Section: Detach();mentioning

confidence: 99%

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GC RCNN: Learning Interdependent IUV for Geodesic Consistent DensePose

Sun,

Liu

2024

Preprint

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Section: B Geodesic Distance-based Optimizationmentioning

confidence: 99%

Section: Detach();mentioning

confidence: 99%

Section: Detach();mentioning

confidence: 99%

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GC RCNN: Learning Interdependent IUV for Geodesic Consistent DensePose

Sun,

Liu

2024

Preprint

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“…Además de los sistemas de formación y simulación, también existen trabajos de RV de referencia. Por ejemplo, la compañía Medical Augmented Intelligence (MAI) creó “BodyMap” [ 27 ], una representación médicamente precisa del cuerpo humano que se puede manipular en RV en 3D, útil para fines formativos.…”

Section: áReas De Aplicaciónunclassified

Aplicaciones del metaverso en medicina y atención sanitaria

Hulsen

2024

Advances in Laboratory Medicine / Avances en Medicina De Laboratorio

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Resumen El metaverso es un mundo virtual, aún en proceso de desarrollo, que permite a las personas interactuar entre ellas, así como con objetos digitales de una forma más inmersiva. Esta innovadora herramienta aúna las tres principales tendencias tecnológicas: la telepresencia, el gemelo digital y la cadena de bloques. La telepresencia permite a las personas “reunirse” de manera virtual, aunque se encuentren en distintos lugares. El gemelo digital es el equivalente virtual y digital de un paciente, dispositivo médico o incluso de un hospital. Por último, la cadena de bloques puede ser utilizada por los pacientes para almacenar sus informes médicos personales de forma segura. En medicina, el metaverso podría tener distintas aplicaciones: (1) consultas médicas virtuales; (2) educación y formación médica; (3) educación del paciente; (4) investigación médica; (5) desarrollo de medicamentos; (6) terapia y apoyo; (7) medicina de laboratorio. El metaverso permitiría una atención sanitaria más personalizada, eficiente y accesible, mejorando así los resultados clínicos y reduciendo los costes de atención médica. No obstante, la implementación del metaverso en medicina y atención sanitaria requerirá una cuidadosa evaluación de los aspectos éticos y de privacidad, así como técnicos, sociales y jurídicos. En términos generales, el futuro del metaverso en el campo de la medicina parece prometedor, aunque es necesario desarrollar nuevas leyes que regulen específicamente el metaverso, con el fin de superar sus posibles inconvenientes.

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“…Besides training and simulation systems, there are also VR reference works. For example, the company Medical Augmented Intelligence (MAI) created “BodyMap” [ 27 ], a medically accurate representation of the human body that can be manipulated in 3D VR, to be used for medical education purposes.…”

Section: Application Areasmentioning

confidence: 99%

Applications of the metaverse in medicine and healthcare

Hulsen

2023

Advances in Laboratory Medicine / Avances en Medicina De Laboratorio

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The metaverse is a virtual world that is being developed to allow people to interact with each other and with digital objects in a more immersive way. It involves the convergence of three major technological trends: telepresence, the digital twin, and blockchain. Telepresence is the ability of people to “be together” in a virtual way while not being close to each other. The digital twin is a virtual, digital equivalent of a patient, a medical device or even a hospital. Blockchain can be used by patients to keep their personal medical records secure. In medicine and healthcare, the metaverse could be used in several ways: (1) virtual medical consultations; (2) medical education and training; (3) patient education; (4) medical research; (5) drug development; (6) therapy and support; (7) laboratory medicine. The metaverse has the potential to enable more personalized, efficient, and accessible healthcare, improving patient outcomes and reducing healthcare costs. However, the implementation of the metaverse in medicine and healthcare will require careful consideration of ethical and privacy concerns, as well as social, technical and regulatory challenges. Overall, the future of the metaverse in healthcare looks bright, but new metaverse-specific laws should be created to help overcome any potential downsides.

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BodyMap

Cited by 6 publications

References 0 publications

GC RCNN: Learning Interdependent IUV for Geodesic Consistent DensePose

GC RCNN: Learning Interdependent IUV for Geodesic Consistent DensePose

Aplicaciones del metaverso en medicina y atención sanitaria

Applications of the metaverse in medicine and healthcare

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