An instrumented intra-oral appliance that has been designed computationally to optimize the location and coupling of sensors to optimize data integrity while maximizing comfort for the wearer. The 3D anatomical geometry can be collected directly with an intra-oral scanner or indirectly through an impression and scan of a dental stone model. A generalized design can be created to fit a target audience by obtaining 3D anatomical geometries of the target populations and performing a statistical shape analysis. Once the generalized design of the electronics is created, a unique design can be generated for each individual by locating the electronics such that they collect the best quality data possible. The individual designs can also be generated that maximize comfort for the wearer by minimizing size and volume, avoiding areas that could be painful, and ensuring proper retention of the device. Although not required, the device could be 3D printed to convert the computational design directly to an appliance.

An exercise feedback system determines muscle stress measurements using physiological data generated by a sensor-equipped athletic garment. A muscle stress measurement represents an accumulated normalized signal from one or more of the sensors corresponding to a given muscle over a period of time. The exercise feedback system may customize exercise programs, determine risks of injury, or generate biofeedback for presentation on graphical user interfaces using the muscle stress measurements. In an embodiment, the exercise feedback system accesses pre-determined muscle stress measurement models that define criteria for the aforementioned features. For instance, responsive to determining that an athlete is becoming fatigued and exercising with improper form based on a muscle stress measurement, the exercise feedback system modifies the athlete's exercise program to help target and improve the athlete's weaknesses.

A therapy and physical training system, comprising one or more movement sensors each of which positioned on a corresponding body part of a user, a first computer on a processor of which an application is running and a head mounted housing which is configured with a display on which images generated by the first computer are visible to the user. The application is configured to receive inputs from each of the sensors or from a second computer in data communication with each of the sensors, the application also configured to generate, in response to a real-time disposition of each of the corresponding body parts during performance of an exercise related body movement, a virtual reality object viewable by the user, the object being indicative of an additional body movement to be made by the user in order to conform with a user-specific exercise program.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

A biometric monitoring device with a display is provided. The biometric monitoring device may track the completion progress towards one or more biometric performance goals and provide a goal celebration indicator upon completion of a biometric performance goal and subsequent receipt of an input signal. In some implementations, the completion of a biometric performance goal may be signaled prior to receipt of the input signal using a secondary indicator.

The invention relates to a device for neurovascular stimulation, at least comprising: at least one brain activity sensor, at least one cardiovascular sensor, at least one computing unit and at least one output unit. The computing unit comprises at least one task algorithm, wherein signals of at least the brain activity sensor and the cardiovascular sensor can be received by the computing unit, and wherein a task, which is in correlation with at least the signals from at least the brain activity sensor and the signals of the cardiovascular sensor, can be determined by means of the task algorithm and can be output by means of the output unit.

Technologies for generating user-specific workout plans and tracking a user's progress are disclosed. The user-specific workout plan may be based on a user's goal and the particular workout facility to be used by the user. During performance of the user-specific workout by the user, the user is provided with workout data regarding the user's performance. Such workout data may be based on sensor data generated by sensors of the exercise machine used by the user and/or other sensors carried or worn by the user.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. In one example, an athletic monitoring device may include or be associated with multiple types of movement sensors and switch between the sensors or use both depending on various factors including type of workout. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment used and the like. In one or more examples, the parameters may be automatically determined based on location. User workouts and accomplishments may also be celebrated through messages from celebrities, family, friends and other users. In some cases, the messages may be triggered by various conditions. Coaching may also be provided to the user to help improve workouts and overall athletic performance. Running routes may also be automatically tracked, stored and shared.