A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to download a workout and to process the sensor data to monitor a user wearing the MIDS during the workout. The processor is further configured to display, via the display system, a workout progress based on the monitoring.

A golf launch monitor is configured to determine a flight characteristic of a golf ball. The golf launch monitor includes two low-speed cameras, a trigger device, and a processor. The trigger device is configured to detect a golf swing. The processor is configured to instruct, upon the trigger device detecting said golf swing, the first camera to capture the first ball image; instruct the second camera to capture the second ball image after a time interval, wherein the time interval is less than the first frame rate and the second frame rate; and determine, based at least in part on the first ball image and the second ball image, the flight characteristic of the golf ball.

A method includes causing display, during a first time period and via a first set of multiple smart mirrors, of live video depicting at least one user associated with the first set of multiple smart mirrors, without displaying a workout video. The method also includes causing display, during a second time period following and mutually exclusive of the first time period, and via a second set of multiple smart mirrors, of a workout video and a representation of at least one user associated with the second set of smart mirrors. The method also includes causing display, during a third time period following and mutually exclusive of the second time period, and via a third set of multiple smart mirrors, of live video depicting at least one user associated with the third set of multiple smart mirrors.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.

Selecting and presenting messages to user of an activity/health monitoring platform. The health/activity monitoring platform may receive physiological data for a user. The health/activity monitoring platform may identify a set of messages based on the physiological data. The health/activity monitoring platform may also determine a set of scores for the set of messages. Each score from the set of scores may be associated with a message from the set of messages and each score from the set of scores may be indicative of whether a respective message should be presented to the user. The health/activity monitoring platform may also identify a first message from a set of messages based on the set of scores and cause the first message to be presented via a display of a computing device of the user. The health/activity monitoring platform may also update a first set of penalties associated with the first message in response to causing the first message to be presented. The first set of penalties decreases a first likelihood that the first message will be presented to the user again

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to download a workout and to process the sensor data to monitor a user wearing the MIDS during the workout. The processor is further configured to display, via the display system, a workout progress based on the monitoring.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.

An exercise feedback system monitors the performance of athletes wearing a garment with sensors while exercising. The sensors generate physiological data such as muscle activation data, heart rate data, or data describing the athlete's movement. The system extracts features from the physiological data and compares the features with reference exercise data to determine metrics of performance and biofeedback. Based on the physiological data, the system may also modify exercise training programs for the athlete. The exercise feedback system can display the biofeedback using visuals or audio, as well as modified exercise training programs, via the athlete's client device in real time while the athlete is exercising. By reviewing the biofeedback, the athlete may correct the athlete's exercise form to properly use the target muscles for the exercise, or change the certain workouts to personalize the training program.