A head mounted virtual reality object synchronized physical training system includes a virtual reality device, a physical training equipment, and a physiological signal sensor. The virtual reality device includes a display operable to display a virtual reality object according to an operation of the user. The virtual reality device is detachably mounted to a head of the user and provides the user with a function of interaction. The physical training equipment includes an exercise data sensor operable to detect exercise data that the user operates the physical training equipment. The physiological signal sensor is operable to detect a human body physiological signal and a human body movement signal of the user. The physical training equipment and the physiological signal sensor have a function of synchronization with the virtual reality object displayed on the virtual reality device.

A method for optimizing at least one exercise is provided. The method includes receiving user data. The user data includes biometric attribute data associated with a user of an exercise device. The method includes generating at least one interval, the at least one interval including at least duration data and target power data each associated with the exercise. The method includes during the at least one interval, receiving measurement data associated with at least one of the user and the exercise device. The method includes calculating, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source. The method includes generating, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.

An exercise suggestion device, an exercise suggestion method and an exercise suggestion program that can suggest an effective exercise are to be provided.

An exercise suggestion device includes: an exercise correction unit which corrects exercise information set on the basis of user information about a user and including exercise duration and exercise intensity of an exercise to be carried out by the user, on the basis of dietary information indicating composition of a meal of the user; and a suggestion unit which suggests at least one of the exercise intensity included in the exercise information that is corrected and an exercise type corresponding to the exercise intensity, and the exercise duration included in the exercise information that is corrected.

System and method for creating an exercise plan for a user based on a goal state of a digital twin of the user. A baseline state of the digital twin is created based on a first 3D model of the user and first physiological data of the user. Using a machine-learning model, an exercise plan for the user, comprising one or more motion profiles, is created that most likely effectuates a goal state of the digital twin from the baseline state of the digital twin. Electronic exercise equipment is configured to physically manifest the one or more motion profiles during exercise activity of the user, and data is acquired by the electronic exercise equipment based on the exercise activity.