A personal training system assisted by artificial intelligence (AI) has a personal training device and a control device. The personal training device includes a jacket and pants, and houses sensors at positions corresponding to a user's main muscle groups for monitoring the user's movement posture and muscle activity of the main muscle groups. The control device has a data preprocessing unit for processing detected-signal data of the sensors, a training analysis device for executing an AI algorithm to conduct fatigue analysis of the user's movement based on the user profile and the detected-signal data, and to make training load recommendations. The personal training system can simultaneously monitor posture, muscle activity and muscle fatigue in real time during the exercise; and use the AI algorithm to evaluate exercise performance and provide real-time feedbacks to improve the exercise and training efficiency, and reduce the risk of injury.

A machine implemented method for simulated sports training includes the steps displaying a simulated environment having one or more virtual objects of a sporting event; displaying to a user a moving object in the simulated environment in accordance with object path data representing an object path and conditions of motion of the moving object as a function of time; correlating soundscape data to the object path data, the soundscape data being dependent on both object path of the moving object in the object path and the conditions of motion; and outputting sound to the user based on the correlated soundscape data either before or during displaying to the user the moving object, thereby providing spatial auditory clues for assisting tracking eye movements of the user to train the user to anticipate or recognize a trajectory of the moving object.

This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).

Embodiments disclosed herein relate to a garment system including at least one sensor and at least one actuator that operates responsive to sensing feedback from the at least one sensor to cause a flexible compression garment to selectively constrict or selectively dilate, thereby compressing or relieving compression against at least one body part of a subject. Such selective constriction or dilation can improve muscle functioning or joint functioning during use of motion-conducive equipment, such as an exercise bike or rowing machine.

Improved exercise assemblies and related methods of use are provided. More particularly, the present disclosure provides advantageous exercise assemblies that are adjustable, changeable and/or rotatable. The present disclosure provides for an exercise assembly that can function as a straight pull-up bar in one arrangement, and can also function as a dynamic, range-of-motion exercise assembly in another arrangement. The exemplary exercise assembly includes an advantageous design that permits users to not only perform straight bar pull-ups, but also allows users to quickly and easily convert the assembly into a two-handled, variable resistance, bicycle-style crank (e.g., a rotating bicycle pull up bar assembly) in which the user rotates two handles of the bar similar to how a cyclist rotates bicycle pedals.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (GPS) data, provide data and information to athletes and/or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and/or their trainers, e.g., for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

In an embodiment a system for facilitating a subject's functional development includes sensing devices configured for sensing mind state signals; sensing devices configured for sensing body state signals; and a set of processing resources configured for generating a mind state indicator/measure, a body state indicator/measure, and a mind-body synergy indicator/measure that corresponds to an expected extent to which each of the subject's mind state and the subject's body state are cooperatively or synergistically aligned with respect to facilitating the subject's functional development. In an embodiment, the system can be configured for concurrently presenting a set of activities involving a model body part; engaging the subject in attempted imitation of the set of activities by way of attempted movement of a subject body part that is a mirror image of the model body part; presenting an indication of an expected extent to which each of the subject's mind state and body state are cooperative with respect to subject performance of the set of activities; and presenting an indication of an extent of subject relaxation. An associated multiple (e.g., up to 12) degree of freedom robotic orthosis can include a set of appendage motion modules configured for engaging with a portion of a subject appendage; a set of mechanical power interface modules coupled to the set of appendage motion modules and configured for facilitating movement of appendage motion modules within the set of appendage motion modules; and a set of flexible drive shafts couplable to the set of mechanical power interface modules.

A system having networked exercise devices that can have a shared virtual exercise session for training, collaboration or competition. The exercise devices each have adjustable difficulty setting and a touch screen for displaying different virtual exercise sessions. The touch screen can display a representation, such as one or more avatars, that represent users of the exercise devices, and that have a virtual speed in proportion to exercise performance on the exercise devices. Dynamic adjustment can be made based on the collective performance of the exercise devices, to cause a same adjustment to a respective current difficulty setting of at least one, two or more exercise devices during the shared virtual exercise session. Virtual training can be provided by way of a chaser animation that chases the representation of the exercise devices, the chaser animation having a virtual speed in dependence of exercise performance of users of the exercise devices.

A multiplayer sports formation arrangement prompting method adapted to monitor, by a computing device, a formation of a plurality of athletes participating in a multiplayer sport to prompt each of the athletes to adjust a position is provided, in which at least two wind sensors and a positioning device are disposed on or around each of the athletes. In this method, relative positions of the athletes with respect to each other are detected by using the positioning device, a wind direction is detected by using the at least two wind sensors disposed on or around a first athlete of the athletes, a second athlete behind the first athlete is prompted to adjust the position to enter a low wind resistance zone according to the relative position of the first athlete with respect to the second athlete and the detected wind direction, and the second athlete is prompted to adjust a position within the low wind resistance zone based on values detected by the at least two wind sensors disposed on or around the second athlete.

The present disclosure provides systems and methods for providing training opportunities based on data collected from monitoring a physiological parameter of persons engaged in physical activity. The physical activity can be a sporting activity, such as a contact sport (e.g., football, hockey, lacrosse) or a recreational activity or sport (e.g., biking, hiking, skiing, snowboarding, motorsports). The system is configured with select components that perform a method of (i) recording data related to a physiological parameter of a person engaged in a physical activity (e.g., an impact received by a player engaged in a contact sport), (ii) analyzing the recorded data related to the physiological parameter while the person is engaged in a physical activity (e.g., is the received impact greater than a predetermined threshold), and (iii) providing post-physical activity analysis of the recorded data to make suggested changes in how the person engages in the physical activity.