Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.

Methods, systems, and computer-program products used for assessing athletic ability and generating performance data. In one embodiment, athlete performance data is generated through computer-vision analysis of video of an athletic performing, e.g., during practice or gameplay. The generated performance data for the athlete may include, for example, maximum speed, maximum acceleration, time to maximum speed, transition time (e.g., time to change direction), closing speed (e.g., time to close the distance to another athlete), average separation (e.g., between the athlete and another athlete), play-making ability, athleticism (e.g., a weighted computation and/or combination of multiple metrics), and/or other performance data. This performance data may be used to generate and/or update a profile associated with the athlete, which can be utilized for recruiting, scouting, comparing, and/or assessing athletes with greater efficiency and precision.

The present disclosure provides a system and method for accurately detecting exercises performed by a user through a combination of signals from a visual input device and from one or more sensors of a wearable device. For each workout type, an algorithm leverages multimodal inputs for automatic workout detection/identification. Using multiple sources of visual and gestural inputs to detect the same workout results in a higher confidence in the detection. Moreover, it allows for continued detection of the workout, including counting repetitions, even when one or more signals becomes unavailable, such as if the user moves out of a field of view of the visual input device.

A smart box system may include a smart box device. The smart box device may include a top portion, elongated side portions, and side portions. The top portion may include a top set of locking elements configured to mate with an external device to prevent the external device from moving relative the top portion of the smart box device. The elongated side portions may attach to the top portion. The side portions may selectively attach to distal ends of the elongated side portions.

An exercise form analysis and feedback system (EFAF) including at least one sensor, at least one local movement data receiver, an analysis and feedback processing unit (AFPU) and a feedback display. The EFAF system of the present invention obtains lift movement data through the one or more sensors as lift movements are performed. This lift movement data may, in turn, be transmitted to one or more local movement data receivers such that the AFPU may operate on the lift movement data to provide real-time or near real-time form/technique feedback to the user via a feedback display. The system of the presentation invention uses machine learning techniques to provide feedback on lift quality aspects based on data associated with previous lifts and external data as applicable.

Embodiments of the invention disclosed relate to systems and methods for facilitating the development of an athlete in a given sport. In one embodiment, a system can include one or more computing devices communicating via a computer network to receive input associated with Skill Scores and to compute and store an Athlete Development Rating (ADR) based at least on said input. In one embodiment, the ADR is based on a composite score of one or more Skills Scores and/or one or more Skill Group Scores. In certain embodiments, Skill Scores are associated with date data to provide a historical view of the athlete's development. In some embodiments, Skill Scores can be based on quantitative, objective assessments and/or qualitative, subjective expert assessments. Program modules can be configured to display historical ADR data, Skill Scores, and/or Skill Group Scores.

The various embodiments of the present invention provide a system and method for a fully mobile, non-invasive, continuous system for monitoring the cardiovascular and musculoskeletal health of an individual during exercise, and for administering a protocol for ischemic pre-conditioning. The system includes a wearable devices affixed on the user with a chest strap, coupled with an application running on a computing device (smartphone/smartwatch), which performs various computations on the wearable device, and allows the user to get real time alerts during exercise, by way of vibrations or audio messages or notifications on the gateway device, to guide them through a protocol for ischemic pre-conditioning.

The disclosed embodiments are directed toward improvements in user interfaces of fitness devices. In one embodiment, an improved user interface (UI) is disclosed whereby controls for adjusting the physical metrics of a fitness device are conveniently located. In another embodiment, a multimedia content functionality is described wherein users of fitness devices can record multimedia content and associate that multimedia content with metrics associated with exercise activity. In another embodiment, a fitness device is capable of streamlining multimedia content during the performance of an activity and can adjust multimedia streams during such an activity.

Systems and methods are described for generating for presentation to a user at least one modified segment corresponding to a physical exercise depicted during presentation of a media asset to a user. The media asset may comprise multiple segments and one or more exercises, where each respective exercise corresponds to one or more segments, and input may be received from one or more sensors during presentation of the media asset, where the input is related to the user. Based on the received input, a determination may be made that an alternate version of an exercise corresponding to at least one particular segment of the multiple segments should be provided instead of a version of the exercise scheduled to be provided. The at least one particular segment may be modified to correspond to the alternate version of the exercise, and the at least one modified particular segment may be generated for presentation.

Electronic devices and methods are disclosed. First and second electronic devices include processors, which implement one or more methods, including receiving sensor data, determining an exercise starting timepoint based on first sensor data, estimating an exercise posture of a user based on second sensor data, estimating a pattern of change in distance between each of the plurality of external electronic devices, indicated by changes in the relative position between each the plurality of external electronic devices over a time period of the determined exercise starting timepoint, based on third sensor data, and generating exercise information based on the estimated exercise posture and the estimated pattern of change in distance between the plurality of external electronic devices.