A system for evaluating an athlete's movement in real-time with respect to a predetermined target movement includes at least one sensor configured to detect a movement of the athlete's specific body part and generate a respective signal indicative of the detected movement. The system also includes a headset receiver configured to be worn by the athlete, in communication with the at least one sensor, configured to receive the respective signal from the sensor(s) and generate, in real-time, to the athlete a sensory feedback signal indicative of a quality of the detected movement. A method of evaluating an athlete's movement in real-time with respect to a predetermined target movement and using the above-described system is also disclosed.

A method, computer system, and computer program product for sport training on an augmented reality device or a virtual reality device is provided. The embodiment may include capturing a plurality of user movement data using one or more sensors. The embodiment may also include measuring a user body and eye gaze position based on the plurality of captured user movement data. The embodiment may further include calculating a body position difference by comparing the measured user body and eye gaze position with an expert-specified body position sequence. The embodiment may also include determining a body position quality threshold is not satisfied based on the calculated body position difference. The embodiment may further include generating an instruction based on the compared calculated body position difference.

An exercise apparatus comprising a foot support movable by the user on the frame back and forth through any one of a plurality of complete, reproducible and different arc segments of a master arcuate path, the foot support being interconnected to an arc segment selection device that is manually actuatable to enable the user to manually select any one of the plurality of different arc segments, the foot support being interconnected to an arm having a handle manually graspable by the user to reduce or increase power or energy required by the user to move the foot support.

Disclosed herein is a system for testing motor skills involved in locomotor, non-locomotor, and manipulative activities. The system utilizes joint data created by a motion sensor during a subject's performance of an activity to determine the subject's motor skill proficiency for that activity. The system compares the subject's joint data to benchmark data to detect one or more phases of the activity. Based on the comparison, the system also determines the subject's proficiency in the particular motor skill tested. The system is embodied in a computer-implemented application that provides various user interfaces for navigating through the user interfaces, accessing a database of the system, testing a subject's motor skills, analyzing a subject's proficiency, and facilitating practice of motor skills.

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.

An activity monitor that is worn by a user for monitoring water-based activities. The activity monitor includes at least one motion sensor, a water sensor, a memory, and a processor. The processor is operable to run an algorithm to calculate activity data based on an output from the motion sensor and to save the activity data to the memory. The processor can be triggered to operate to calculate the activity data and to save it to memory by an output from the water sensor to indicate that the monitor is immersed in water.

An exercise apparatus comprising a foot support movable by the user on the frame back and forth through any one of a plurality of complete, reproducible and different arc segments of a master arcuate path, the foot support being interconnected to an arc segment selection device that is manually actuatable to enable the user to manually select any one of the plurality of different arc segments, the foot support being interconnected to an arm having a handle manually graspable by the user to reduce or increase power or energy required by the user to move the foot support.

A golf club head includes a head body and a sensing device. The head body includes a mounting surface, a socket opening at the mounting surface, and a striking surface spaced apart from the socket and having a plurality of striking regions. The sensing device includes a housing removably mounted in the socket, and a sensing module disposed in the housing. The sensing module measures an acceleration and an angular velocity of the head body, and wirelessly transmits the acceleration and the angular velocity to a portable electronic device. When the striking surface strikes a golf ball, the portable electronic device determines one of the striking regions that strikes the golf ball based on the acceleration and the angular velocity.

Mesh networks of radio node pods for measuring performance of teams and individual athletes by first stimulating and then by measuring a parameter of motion selected from velocity, vector, acceleration, force, and rebound. The system includes one or more radio node pods, each radio node pod having a microprocessor, supporting circuitry, a machine layer with one or more sensors and actuators, firmware for essential functions, and a soft socket for receiving codelets on the fly, each codelet containing a soft mini-script and attendant variables for iteration of a stimulus-response-sequence (SRS) customized to a previous iteration or training goal. Radio node pods may work in clusters and are typically multipotent, each pod performing specialized functions as dictated by a resident codelet but otherwise all pods having the same or similar hardware. Shared resources, either internal or external to the mesh network, are used for data analysis. Thus a single pod may trigger a stimulus to a user, and another pod may record a response, but are interchangeable, and each response may be a stimulus to trigger another SRS. Communications with an external administrative network or cloud host is generally delegated to a bridge pod dedicated as a gateway or portal. Each individual subject or team is assessed for performance metrics by which a stimulus results in a qualitative or parametric response. According to current best practice, radio pod nodes are synchronized in each mesh network and wirelessly report raw data and/or derived data to an administrative module for reporting, display and recordation. Relative performance of individuals or teams can be tracked or trended to detect weaknesses and improve workout, sports, military training performance, and contests can also be scored using these systems.

Methods, apparatus, systems, and articles of manufacture to track movement of sports implements are disclosed herein. An example sensing unit disclosed herein is to be coupled to a sports implement. The sensing unit includes an inertial measurement unit to obtain movement data of said sports implement during a swing of said sports implement and a swing analyzer to determine whether the swing is a horizontal shot or a vertical shot based on the movement data.