A swing analyzing apparatus includes at least an angular velocity sensor, an impact detection section, an angular velocity information calculation section, and an impact state judgment section. The impact detection section detects the timing of impact in a swing of a sporting good. The angular velocity information calculation section calculates at least one of the amount of change in angular velocity with respect to a predetermined axis in a predetermined period after the impact timing and the greatest value of the angular velocity based on data outputted form the angular velocity sensor. The impact state judgment section judges the state of impact based on the result calculated by the angular velocity information calculation section.

A sporting apparatus includes a monitoring device. The monitoring device may add no weight to the sporting apparatus relative to a comparable sporting apparatus without the monitoring device. The monitoring device may have a center of gravity substantially aligning with the center of gravity of the sporting apparatus, resulting in a sporting apparatus with a monitor having substantially the same center of gravity as a comparable sporting apparatus without a monitor. The sporting apparatus monitor may be configured to trim unreliable post impact swing data and replace it with extrapolated pre-impact swing data and/or more reliable post impact swing data.

In general, an exercise device includes a handle having a first end and a second end. A curved member is coupled to the first end of the handle. A movable member is coupled to the curved member, with the movable member configured to travel along a length of the curved member, where the movable member has a first portion and a second portion, and the second portion is configured to move relative to the first portion. An elongate member has a first end and a second end, and the first end of the elongate member is coupled to the second portion of the movable member. A weight is coupled to the second end of the elongate member.

In general, an exercise device includes a handle having a first end and a second end. A curved member is coupled to the first end of the handle. A movable member is coupled to the curved member, with the movable member configured to travel along a length of the curved member, where the movable member has a first portion and a second portion, and the second portion is configured to move relative to the first portion. An elongate member has a first end and a second end, and the first end of the elongate member is coupled to the second portion of the movable member. A weight is coupled to the second end of the elongate member.

A training system, kit, and method including a weighted wearable equipment, e.g. gloves, having a sensor (e.g. accelerometers, gyroscopes, photoelectric sensors, position sensors, tilt sensors, pressure sensors, temperature sensors, blood pressure sensors, heart rate monitors, and SpO2 sensors) and including a weight enhancement (e.g. weight bodies in closed pockets); a non-weighted wearable equipment of the same type as the weighted wearable equipment, the non-weighted wearable equipment having a sensor and. not including a weight enhancement; and a training application in functional communication with each of the weighted wearable equipment and the non-weighted wearable equipment and having a data processor that includes instructions for: analyzing data received from the sensor of each of the weighted wearable equipment and the non-weighted wearable equipment and generating predictive information derived from exercise training data from the sensors.

A training system, kit, and method including a weighted wearable equipment, e.g. gloves, having a sensor (e.g. accelerometers, gyroscopes, photoelectric sensors, position sensors, tilt sensors, pressure sensors, temperature sensors, blood pressure sensors, heart rate monitors, and SpO2 sensors) and including a weight enhancement (e.g. weight bodies in closed pockets); a non-weighted wearable equipment of the same type as the weighted wearable equipment, the non-weighted wearable equipment having a sensor and. not including a weight enhancement; and a training application in functional communication with each of the weighted wearable equipment and the non-weighted wearable equipment and having a data processor that includes instructions for: analyzing data received from the sensor of each of the weighted wearable equipment and the non-weighted wearable equipment and generating predictive information derived from exercise training data from the sensors.

The systems and methods described herein are directed towards collecting and recording sensor data pertaining to physical contact experienced by players in a contact sport (e.g., football). The data can be collected and recorded through the use of one or more sensors worn by the player. In some cases, the sensor data can be associated with in-game video recordings of physical contact experienced by the players. Information about the physical contact can be displayed for users to view via a graphical user interface. Warnings may also be provided.

A cueing device or system includes one or more sensors configured to take measurement data for one or more participants in an activity. A processor in communication with the sensors analyzes the measurement data to detect events associated with the environment and participants, extracts attributes associated with the events from the measurement data, predicts a movement outcome associated with one of the events based on the attributes, and generates one or more instructions based on the predicted movement outcome. A cue administrator generates one or more anticipatory cues based on the instructions generated by the processor. The cues are administered as cue stimuli encoding timing and magnitude information selected to reduce response time for recognition of the event.

A cueing device or system includes one or more sensors configured to take measurement data for one or more participants in an activity. A processor in communication with the sensors analyzes the measurement data to detect events associated with the environment and participants, extracts attributes associated with the events from the measurement data, predicts a movement outcome associated with one of the events based on the attributes, and generates one or more instructions based on the predicted movement outcome. A cue administrator generates one or more anticipatory cues based on the instructions generated by the processor. The cues are administered as cue stimuli encoding timing and magnitude information selected to reduce response time for recognition of the event.

A method can include providing an object having a size smaller than a size of a known regulation object, projecting the object, via a delivery device, toward a trainee, and training the trainee to follow the object. A method can include determining a game parameter of a game trajectory of a sports object that was projected along the game trajectory in a real-time sports event, and based on the game parameters, adapting a delivery device to deliver a training object along a training trajectory that mimics at least a portion of the game trajectory, with the training object being smaller than the sports object.