A smart soccer goal for tracking and communicating motion of objects includes a goal frame; a net coupled to the goal frame including a plurality of lights; and one or more sensors coupled to the goal frame. A first sensor of the one or more sensors is directed to detecting movement within and immediately near the smart soccer goal and a second sensor of the one or more sensors is directed to detecting movement outside of the smart soccer goal.

A training aid stimulator for providing fast perceptive feedback is disclosed. The training aid stimulator includes a first skin electrode and a second skin electrode both for making electrical contact to the body of a user, a charging module, a discharge module connected to one or more of the skin electrodes for a feedback discharging, and a processor for controlling the charging of a capacitor equivalent to a predetermined first voltage level, wherein the processor further being connected to the discharge module for controlling a feedback discharge of the capacitor equivalent. The stimulator comprises a voltage measurement module for measuring the level of charge of the capacitor equivalent, and the processor is configured for keeping the stimulator ready to discharge by repeatedly measuring the level of charge and by providing a maintenance charging when the voltage over said capacitance equivalent is at or below a predetermined second voltage level.

An information processing device includes a first member that includes a substantially plate-shaped casing and a predetermined detection unit, a second member that includes a substantially plate-shaped casing and that holds a battery inside the second member, and a connection unit that includes an elastic body and connects a part of an outer circumferential end surface of the first member to a part of an outer circumferential end surface of the second member such that a surface direction of one surface of the first member substantially matches a surface direction of one surface of the second member. The information processing device is worn on a predetermined body part such that the one surface of the first member and the one surface of the second member are located on a side of the body part.

This document presents a system and method for using an intelligent belt and a remote secondary sensor to obtain instantaneous feedback during the performance of physical activities. A remote secondary sensor may be attached to a conveyance associated with, and in use by, a user. The intelligent belt uses a position sensor, such as a 3-axis accelerometer, to monitor the movements of a user and a conveyance such as an athletic apparatus, or any other apparatus upon which a user may stand, move, or with which the user may be associated. The belt is capable of determining when certain physical activities are not being performed properly in comparison to a preferred and pre-configured performance, and can provide real-time feedback using visual, aural, haptic, and other feedback mechanisms.

A device and method for monitoring exercise performance and configured to be worn on a limb of a user. The device includes a position determining module configured to generate position data for a present exercise session of the user utilizing one or more signals; a motion sensor configured to detect motion of the device and generate motion data; and a processor. The processor is operable to calculate at least one of speed, pace, and distance of the device; calculate a limb motion of the user to obtain limb motion data throughout the present exercise session; determine whether an inaccurate interval is present during the present exercise session; obtain a matching interval; and replace at least one of the speed, pace, and distance data during the inaccurate interval with a corresponding at least one of speed, pace, and distance data of the matching interval.

Provided is a device for pitch detection within user-defined zones. The device detects a first gesture at a first height based on first output from all or some sensors, and detects a second gesture at a second height based on second output from all or some sensors. The device sets a top and bottom of the user-defined zone based on the first height and the second height, and tracks a location of an object relative to the user-defined zone based on third output, from a subset of sensors, that is generated in response to the object moving over or under the subset of sensors. The device discards output generated from two or more sensors that are not adjacent, measurements from adjacent sensors that differ by more than a distance threshold, and/or output from adjacent sensors with timestamps that differ by more than a time threshold.

Provided is a device for pitch detection within user-defined zones. The device detects a first gesture at a first height based on first output from all or some sensors, and detects a second gesture at a second height based on second output from all or some sensors. The device sets a top and bottom of the user-defined zone based on the first height and the second height, and tracks a location of an object relative to the user-defined zone based on third output, from a subset of sensors, that is generated in response to the object moving over or under the subset of sensors. The device discards output generated from two or more sensors that are not adjacent, measurements from adjacent sensors that differ by more than a distance threshold, and/or output from adjacent sensors with timestamps that differ by more than a time threshold.

An exercise assisting device and exercise assisting method are provided. The device performs the following operations: transmitting a first control signal, the first control signal is related to a motion demonstration video corresponding to an exercise course data; receiving a video stream of a user; analyzing the video stream to generate a motion recognition result corresponding to the exercise course data of the user, and determining whether a motion target value is achieved according to the motion recognition result and the exercise course data; and when the motion target value is not achieved, the motion recognition result and the motion target value are input into an expert suggestion model to generate a follow-up motion suggestion and to determine a follow-up motion demonstration video corresponding to the follow-up motion suggestion.

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.

A monitoring system that includes a processor, one or more video cameras, a student monitor, and an instructor monitor. The processor can transmit and receive digital information to and from the video cameras and monitors. The student monitor and the instructor monitor are each also able to communicate digitally with the processor and may each play video as received from the processor. The processor may transmit either a live or recorded video signal to both the student monitor and the instructor monitor, such that the student monitor and the instructor monitor receive and play video simultaneously.