The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

A tennis ball including a spherical core. The spherical core including an outer surface and a raised wall integrally molded as part of the outer surface.

A system for retaining a sensor that detects motion and communicates with a computer. A receiver mounts to an exercise machine and the sensor mounts in the receiver. The receiver has a sidewall defining a chamber and a movable member opposite the chamber with a tongue extending toward the chamber. A cavity is formed in a first side of the sensor housing and into which the tongue inserts while an opposing, second side of the housing is inserted in the chamber. The chamber sidewall extends from a first side of a panel, and the movable member extends from a second, opposite side of the substantially planar panel. First and second chamber end walls are mounted at opposite ends of the chamber sidewall and may be spaced about a sensor length. The movable member may be a cantilever that is adapted to bend.

A method for generating feedback to a user practicing a skill comprises: providing a local platform for acquiring physical parameter data pertaining to motion and position of the user and motion and position of a golf club and a golf ball struck by the golf club during a golf swing by the user; transmitting via a network at least a portion of the physical parameter data of the motion and position of the golf club and the golf ball struck by the golf club during the golf swing and the physical parameter data associated with the motion and position of the user during the golf swing from the local platform to a machine learning analysis engine as input information; entering the input information into a machine learning model, the machine learning model having a set of rules and statistical techniques to learn patterns from the input data, and a model which is trained by using evolving training sets, wherein an initial training sets is formed from selected professional golf players physical and swing characteristics and are classified and used to train the machine learning model and resulting learned weighting factors are feedback and used to refine a model prediction, the machine learning model determining a user's skill deficiencies and providing correction suggestions; and providing a correction suggestion to the user.

An amusement attraction features a wall structure, a respective set of illuminable handholds distributed over a wall surface of at least one upright wall of the structure, a floor surface residing adjacent to the upright wall on a side thereof faced by the wall surface, and one or more detection devices operable to detect landing of a participant on the floor surface during attempted traversal of the wall surface. A controller is operable to illuminate the handholds in different colour-coded patterns. Each pattern includes illumination of “authorized” handholds in a first colour, illumination of “prohibited” handholds in a second colour, and illumination of “targeted” handholds in a third colour. In a game-play session, participants are tasked with grasping of the targeted handholds while traversing the wall structure, with penalties applied for detected landing of participants on the floor surface and gripping of prohibited handholds.

The present disclosure provides a new and innovative system for sport design, tracking, and sharing. The system includes a set of wireless components in communication with a computing system. The computing system may include a graphical user interface, and at least in some instances, communicates over a network with an external system such as a social media platform. Through the graphical interface, a user may program rules to a sport into the wireless components. The user or users may perform the sport with the programmed wireless components, which analyze the actions performed according to the programmed rules. The analysis and other data collected by the wireless components may be reviewed by the users after playing the sport. Furthermore, the data collected and the rules programmed into the wireless components may be shared online to the external system for rating and ranking by an online community.

The present disclosure provides a sit-up motion information management system and detection method based on an Internet of things. The method includes: acquiring detection data of a sensor at present time; determining whether the detection data of the sensors at the present time meet a first counting condition, determining that a sit-up action is correct if yes, and incrementing a flag value by one; acquiring detection data of the sensors at next time; determining whether the detection data of the sensors at the next time meet a second counting condition, determining that a sit-up action is correct if yes, and incrementing a flag value by one; determining whether a flag value is greater than or equal to a preset value to obtain a third determination result; and determining, if the third determination result indicates yes, that one rep of sit-up actions is completed, and recording a number of sit-up reps.

Systems and methods for estimating emotional states, moods, affects of an individual and providing feedback to the individual or others are disclosed. Systems and methods that provide real time detection and monitoring of physical aspects of an individual and/or aspects of the individual's activity and means of estimating that person's emotional state or affect and change to those are also disclosed. Real time feedback to the individual about the person's emotional change, change or potential change is provided to the user, helping the user cope, adjust or appropriately act on their emotions.

An example of an information processing system sequentially executes a plurality of exercise events, and a user executes exercises corresponding to the exercise events, thereby causing a game to progress. The user sets in advance an exercise that the user wishes to avoid. When an exercise corresponding to an exercise event is the exercise set in advance by the user, a button operation is performed instead of the exercise, thereby causing the game to progress.