Analysing a Body

A method for analysing a subject body or a part thereof, the method comprising:

• storing electronic program instructions for controlling a controller of a portable device;
• and
• controlling the controller, alone and/or in cooperation with one or more remote devices, via the electronic program instructions, to:
• receive input via input means of the portable device, the input means comprising at least one sensor operable to capture at least one representation of the subject body or the part thereof, the at least one sensor comprising at least a camera and the at least one representation of the subject body or the part thereof comprising a visual representation captured by the camera, the input comprising the at least one representation of the subject body or the part thereof;
• process the input to conduct an analysis of the subject body or the part thereof and generate an output on the basis of the analysis, the processing comprising using at least one of a machine learning (ML) and/or artificial intelligence (AI) algorithm to estimate body composition, anthropometric variables and/or medical physiology, wherein the machine learning (ML) and/or artificial intelligence (AI) algorithm is trained using an ecologically and physically valid unified representation(s) of a human body and its anatomical structure,
• the unified representation(s) of a human body and its anatomical structure being a model or analogy of the human body, and being created from a dataset of contributed details, said dataset being processed, prepared, and quality assured using anatomical landmarks of the human body estimated using at least one computer vision (CV), machine learning (ML), and/or artificial intelligence (AI) technique,
• the contributed details comprising a visual representation of at least one human body contributing details to the dataset, and other respective data and/or information, including at least one medical image, of the at least one human body contributing details to the dataset, the other respective data and/or information being registered, aligned, segmented, and matched to the visual representation of at least one human body contributing details to the dataset using anatomical landmarks of the human body estimated using the at least one CV, ML, and/or AI technique to create the unified representation(s) of the human body and its anatomical structure.

A computer-readable storage medium on which is stored instructions that, when executed by a computing means, causes the computing means to:

• receive input via input means of a portable device, the input means comprising at least one sensor operable to capture at least one representation of a subject body or a part thereof, the at least one sensor comprising at least a camera and the at least one representation of the subject body or the part thereof comprising a visual representation captured by the camera, the input comprising the at least one representation of the subject body or the part thereof;
• process the input to conduct an analysis of the subject body or the part thereof and generate an output on the basis of the analysis, the processing comprising using at least one of a machine learning (ML) and/or artificial intelligence (AI) algorithm to estimate body composition, anthropometric variables and/or medical physiology, wherein the machine learning (ML) and/or artificial intelligence (AI) algorithm is trained using an ecologically and physically valid unified representation(s) of a human body and its anatomical structure,
• the unified representation(s) of a human body and its anatomical structure being a model or analogy of the human body, and being created from a dataset of contributed details, said dataset being processed, prepared, and quality assured using anatomical landmarks of the human body estimated using at least one computer vision (CV), machine learning (ML), and/or artificial intelligence (AI) technique,
• the contributed details comprising a visual representation of at least one human body contributing details to the dataset, and other respective data and/or information, including at least one medical image, of the at least one human body contributing details to the dataset,
• the other respective data and/or information being registered, aligned, segmented, and matched to the visual representation of at least one human body contributing details to the dataset using anatomical landmarks of the human body estimated using the at least one CV, ML, and/or AI technique to create the unified representation(s) of the human body and its anatomical structure.