Abstract: The invention relates to systems and methods for the capture, tracking, analysis and assessment of human movements, action or behavior using novel digital quantum twin model of the human. The model is integrated and reinforced by novel representations and novel techniques in computer vision, machine learning, speech processing, sport science, exercise and health. The aim is to achieve optimal analysis and assessment of human motion and other impacting internal and external forces using valid quantum physics-based model of the human combining movements, behaviors, and other health info. Unlike existing approaches derived from two- or three-dimensional landmarks or just the shape or composition e.g.

Abstract: In some examples, an apparatus, such as a mobile phone may include a camera, a processor, and computer readable medium. The camera capture one or more images of a person. The processor may use a machine learning model to predict the body volume of the person based on the captured images. The model may be trained based at a training data set comprising at least a plurality of user images. The apparatus may transmit the predicted body volume to a medication and medical treatment management system and receive from the same an adjusted medication or medical treatment plan. The apparatus may further execute the adjusted medication or medical treatment plan.

Abstract: In some examples, an apparatus, such as a mobile phone can include an input module such as a touch screen, a camera, a processor, and computer readable medium. The camera captures one or more images of a person. The processor can use a single machine learning model to estimate the human body features of the person based on the captured images, and use the human body features to generate a disease risk assessment value associated with diabetes and cardiovascular disease risks. The human body features can include at least one or more of: 3D body shape, or body shape indicators; and one or more of: blood flow, blood pressure, heart rate, respiratory rate, heart rate variability, cardiac workload, irregular heartbeats, or stress index. The machine learning model can be trained over a set of training images.

Abstract: In one aspect, a system 10 for analysing a body 14 using a device 12 is disclosed. In one arrangement and embodiment, the device 12 comprises: a controller 18; storage 20 storing electronic program instructions for controlling the controller 18; and an input means. In one form, the controller is operable, under control of the electronic program instructions, to: receive input via that input means, the input comprising at least one representation of the body 14; process the input to conduct an analysis of the body 14 and generate an output on the basis of the analysis, the processing comprising using a database 40; and communicate the output via a display 22. In an embodiment, the output comprises an estimation of an individuals three-dimensional (3D) body shape and associated body measurements, composition and health and wellness risks from a representation comprising human imagery.

Abstract: There is disclosed a device for imaging a body. In one arrangement, the device comprises a controller, storage storing electronic program instructions for controlling the controller, a display for displaying a user interface, and an input means. In one form, the controller is operable, under control of the electronic program instructions, to receive input via the input means, where the input comprises a first representation of the body, to process the first representation, to generate a second representation of the body on the basis of processing of the first representation, and to display the generated second representation via the display.

Abstract: There is disclosed a device for imaging a body. In one arrangement, the device comprises a controller, storage storing electronic program instructions for controlling the controller, a display for displaying a user interface, and an input means. In one form, the controller is operable, under control of the electronic program instructions, to receive input via the input means, where the input comprises a first representation of the body, to process the first representation, to generate a second representation of the body on the basis of processing of the first representation, and to display the generated second representation via the display.