Weight Monitoring

Weight monitoring research focuses on developing accurate and efficient methods for assessing body weight and related metrics like BMI, with applications ranging from large-scale health monitoring to personalized healthcare. Current research explores diverse approaches, including machine learning models (e.g., convolutional neural networks, ensemble methods, and large language models) applied to various data sources such as facial images and clinical text records. These advancements aim to improve the accessibility and precision of weight assessment, potentially leading to better obesity management and improved health outcomes.