NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units

Ruíz-Zafra, Ángel; Precioso, Daniel; Salvador, Blas; Lubián‐López, Simón Pedro; Jiménez, Javier; Benavente‐Fernández, Isabel; Pigueiras, Janet; Gómez‐Ullate, David; Gontard, Lionel C.

doi:10.1109/jbhi.2023.3240245

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…Non-invasive and comfortable for infants, 3D body models prove more cost-effective and expedient than traditional evaluation methods 59,60 . Furthermore, the technology is relatively straightforward and user-friendly, making it accessible to both doctors and parents 61 .…”

Section: Facial Recognition Software For the Evaluation Of Infant Emo...mentioning

confidence: 99%

Emergence of 3D body model-based infant health evaluation: a review

Tang¹,

Lee²,

Xia³

et al. 2023

Preprint

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The accurate evaluation of infant health is paramount in ensuring optimal growth, development, and overall well-being. Traditional methods of evaluation, such as physical exams and laboratory tests, can be invasive and may not provide a detailed enough assessment of an infant's health or development. In recent years, the use of 3D body models has emerged as a promising approach for the evaluation of infant health. We examine the application of 3D body models in detecting body shape abnormalities, evaluating infant motor function using 3D body tracking technology, and utilizing facial recognition software to assess infant emotions. The benefits of these innovative approaches, including enhanced accuracy, non-invasive assessment, and cost-effectiveness, are highlighted. However, we also acknowledge the limitations of 3D body model-based evaluation, such as limited availability, potential for errors, and challenges in interpreting the data. Despite these challenges, the potential of 3D body models to transform infant health evaluations is significant. As the technology continues to evolve, its adoption in healthcare settings is expected to improve the accuracy and effectiveness of infant health assessments, ultimately contributing to better care and treatment for infants.

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Section: Facial Recognition Software For the Evaluation Of Infant Emo...mentioning

confidence: 99%