IMAGE ANALYSIS FOR PREDICTING BODY WEIGHT IN HUMANS

摘要

Systems and methods for determining body weight predictions and human conditions are disclosed. A body weight may be predicted by capturing at least one image of a human, and determining, from the image, a body weight prediction of the human by processing the at least one image with a data processor. The body weight prediction may further be based on an age-based weight factor. A model such as a neural network model may be used to predict body weight.

主权项

1. A system for predicting body weight of a subject human, the system comprising:
an image source configured to capture images; a data input device; a storage component configured to store an age-based weight prediction model and a trained neural network model, the trained neural network model trained with parameters corresponding to at least two facial feature measurement factors and a weight factor obtained from each of a plurality of other humans, the at least two facial feature measurement factors including a first facial feature measurement factor extending in a first direction and a second facial feature measurement factor extending in a second direction different from the first direction; a data processor coupled to the data input device, the image source, and the storage component, the data processor configured to capture an image of a face of the subject human with the image source; receive an age factor of the subject human with the data input device; determine the weight factor for the received age factor from the stored age-based weight prediction model; determine the at least two facial feature measurement factors for the face of the subject human from the captured image; and apply the weight factor and the at least two facial feature measurement factors to the trained neural network model to predict the weight of the subject human.