A system includes wearable devices positioned on a subject in different locations. Each wearable device includes motion sensors that measure the subject's movement in three dimensions. The motion sensors generate raw sensory data as the subject performs a physical movement. A data filter is selected based on a condition of the subject and a designated movement corresponding to the physical movement, and used to convert the raw sensory data into formatted data. A level of compliance of the physical movement with a movement model for the designated movement is determined by applying comparative modeling techniques to the formatted data and the movement model. Real-time feedback is delivered dynamically to the subject by the wearable devices during the performance of the physical movement based on the level of compliance. The movement model can be generated, and the comparative modeling techniques can be selected, based on the condition of the subject.

The present application relates generally to computer software, mobile electronics, wireless communication links, and wearable monitoring systems. More specifically, techniques, systems, sensors, circuitry, algorithms and methods for wearable monitoring devices and associated exercise apparatus are described. A garment borne sensor system may acquire data on a user's performance during exercise, for example. The data may be analyzed in real time and feedback may be provided to the user based on the analysis. Analysis may be used to alter behavior of the user and/or an apparatus the user is engaged with during an activity, such as exercise, conditioning, therapy, etc. A piece of exercise equipment may be instrumented and in communication with the sensor system or other system and may be controlled in real time to adjust its settings to affect the user during the exercise routine. Communication between the sensor system and other systems may be wireless.

A non-limiting example training instrument comprises a hollow main body formed of an aluminum alloy. The main body is constituted by two gripping portions opposite to each other with a space therebetween and a coupling portion coupling the two gripping portions. A load sensor is arranged in the coupling portion inside the main body. The load sensor is a load cell, a strain gauge affixed to an interior of the main body, and a part of the main body to which the strain gauge is affixed functions as a strain body. Therefore, if a user applies a force so as to bring the two gripping portions close to each other or a force so as to move the two gripping portions away from each other, a load thereof is detected by the load sensor.

The present invention relates to delivery of content that is driven by input from one or more performance sensor units, such as performance sensor units configured to monitor motion-based performances and/or audio-based performances. Embodiments of the invention include software and hardware, and associated methodologies, associated with the generation, distribution, and execution of such content. Particular attention is paid to technologies that enable the delivery of skills training content that provides for expert knowledge variations in training content for various skills.

A wearable device for tracking swim activities of a user is provided. The wearable device may include one or more sensors configured to generate sensor data, and based on the sensor data, the wearable device may determine swim metrics such as swim stroke count, swim stroke type, swim lap count, and swim speed. The determined swim metrics may be filtered based on one or more swim periods during which the user is likely to have been swimming. The wearable device may determine such swim periods based on the sensor data and/or the determined swim metrics.

The present disclosure relates to systems and methods for balance index determination. For example, a wearable apparatus may have at least one gyroscope configured to measure angular velocity about a first axis; at least one inertial measurement device (IMU) configured to measure deviation along a second axis and a third axis; at least one memory storing instructions; and at least one processor configured to execute the instructions to: receive angular velocity measurements over a period of time from the at least one gyroscope; receive deviations from the second axis and from the third axis over the period of time from the at least one IMU; weight the deviations based on directions associated with the deviations; and generate a composite balance index based on the angular velocity measurements, the weighted deviations from the second axis, and the weighted deviations from the third axis.

A method for an advancement manager in a handheld user device is presented. The method is performed in a handheld user device (1). The method comprises detecting (S100) an exercise of a person in front of a camera (46) of the handheld user device, wherein the exercise is a trained exercise, determining (S130), when a stability of the detected exercise is within a first threshold, a performance of the detected exercise as correct, and otherwise determine the performance as incorrect, verifying (S140) that the performance determined as incorrect occurs in a subsequent repetition of the detected exercise before providing the correction indication, and providing (S150) a correction indication towards a user interface, UI, of the handheld user device for the determined incorrect performance. A user device and a computer program for an advancement manager in a handheld user device are also presented.

An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

In some embodiments, a movement platform may be used to develop force models for the determination of movement based on force patterns received from the movement platform. A force model is made by comparing a known user movement to force readings recorded during the user movement. Movement platform force readings may be compared to a plurality of force models to determine a user movement. Once a matching force model is determined, the matching force model may be used to generate instructions for moving a user on the movement platform.

A sports performance sensor for an implement used in sports, such as a bat or baseball. The implement, e.g. the bat or baseball, is formed with an area inside that can include circuitry. The circuitry can measure rotation acceleration, and speed. The outer surface of this device has pressure sensing fabric, which senses location and pressure on the outer surface. This can form a pressure map of where the user's fingers are touching the outer surface. The information from the user's performance in using the device are transmitted to an external computer such as a phone which creates a pressure sensing map. This pressure sensing map can then be compared to data from either the same user at a different time or from other users. This can be specific to different actions, for example it can be specific to the user throwing a specific kind of pitch, or the user carrying out a specific operation such as swinging a bat to hit a specific kind of pitch.