Patent classifications
A63B2220/836
Height jumping sensor system and method
An athlete wearing footwear measures jump heights with a motion sensor mounted on the footwear over toes of the athlete. By sensing vertical jump start motions the sensor detects jump start and finish times of −4 g start and −4 g landing. The sensor, a body wearable mems sensor developed by JAWKU, L.L.C., has a previously installed generic factory scale calibration factor. The athlete replaces this calibration factor with a new calibration scale factor selecting an “absolute” external reference device which measures jump height. This device measures several jump heights then inputted to an algorithm app in the sensor to calculate the new calibration scale factor customized to the actual athlete. The motion sensor has built in programming apps to periodically receive an upgraded factory scale calibration factor which upgrade is based on an ever increasing data pool of jump heights. The updated factory calibration factor is then again replaced by the athlete personally taking several new measured jumps which jump heights are in turn inputted to the sensor. The progress made in evolving jumping skills based on training and specific conditioning exercises can thus be motion sensor evaluated.
SYSTEM AND METHOD FOR DETERMINING RUNNING POWER
A system, method and computer program product for determining mechanical running power. A plurality of sensor readings is acquired from a plurality of force sensors positioned underfoot. Force values are determined for a plurality of strides using aggregate force data. The slope, a stance time and running speed are determined for each stride. The mechanical running power associated with the plurality of sensor readings is determined by inputting the force values, the slope, the stance time and the running speed to a machine learning model trained to predict the mechanical running power. The mechanical running power can then be provided to the user as feedback or stored for purposes such as later review and analysis. The inputs to the machine learning model can be determined entirely based off of sensor data received from a wearable device worn by the user.
Multi-mode acceleration-based athleticism measurement system
A multi-mode athleticism movement measurement system includes an athlete-borne acceleration sensor and an athleticism processing device to determine athleticism information based upon one or more timing measurements from the athlete-borne acceleration sensor, the athleticism information corresponding to any of multiple athleticism measurement modes available on athleticism processing device and selectable by a user. A data link between the athlete-borne acceleration sensor and the athleticism rating processing device transmits the one or more timing measurements from the athlete-borne acceleration sensor to the athleticism rating processing device.
Apparatus, systems, and methods for gathering and processing biometric and biomechanical data
Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display, and/or data storage medium for further analysis, archiving, and data mining. In some embodiments, the device includes a cellular telephone.
System and method for object tracking in coordination with a ball-throwing machine
A system is disclosed that includes a ball-throwing machine included within a first housing, a controller communicatively coupled to the ball-throwing machine and included within a second housing different than the first housing, a camera, and a non-transitory storage medium having stored thereon logic, the logic being executable by one or more processors to perform operations including: receiving information associated with a selection of a first training drill from the controller, responsive to receiving the information associated with the selection of the first training drill, causing the ball-throwing machine to impart motion to one or more balls in accordance with the first training drill, receiving multimedia data of a player captured by the camera, and performing a player recognition procedure to locate the player within the multimedia data.
Calorie estimation apparatus and method, and wearable device
A calorie estimation apparatus and method that analyze a user's skin spectrum to determine calories of food and drink that the user has ingested are provided. The calorie estimation apparatus includes a spectrum measurer configured to measure a skin spectrum of a user; and a processor configured to determine a noise of the measured skin spectrum, and estimate calories consumed by the user based on the determined noise.
SYSTEM, APPARATUS AND METHOD FOR TRAINING A SUBJECT
A system (100) for training a subject such that the subject includes an input unit (102) having a number of sensors (112) that are configured to detect a number of physiological parameters of a user. A processing unit (104) is configured to receive the number of physiological parameters for comparing the number of physiological parameters with a set of predefined physiological parameters to generate a baseline signal (116A). An output unit (106) is configured to generate an instruction signal (118A) upon receipt of the baseline signal (116A) and a regulating unit (108) that is configured to regulate a speed of a game associated with a gamification engine (110) and a speed of an exercising apparatus (200) upon receipt of the instruction signal (118A).
COMPUTER IMPLEMENTED AMERICAN SOCCER TRAINING AND EVALUATION METHOD AND SYSTEM
A computer-implemented American soccer training and evaluation method that includes subjecting a drilling user to predefined drilling protocol(s) of a plurality of American soccer drilling assemblies and obtain, from each pre-defined drilling protocol(s) of the plurality of American soccer drilling assemblies and from at least one sensor on each of the assemblies, at least one user physical characteristic of the drilling user. The user physical characteristic is communicated to an administrative server over a network, where it is stored and used to create a drilling user performance profile having individualized performance comparisons with respect to the at least one user physical characteristic of the drilling user and a performance benchmark. Then, the drilling user performance profile is communicated to at least one of a plurality of electronic computing devices of a plurality of consuming users for evaluation and review.
Article of apparel with dynamic padding system
An article of apparel includes a padding system that dynamically changes configuration in response to an impending impact. The padding system may change from a state that has a high flexibility and offers low protection from impact to a state that has a low flexibility and offers increase protection from impact. The system may use a filament to constrict a plurality of padding elements together in order to increase the overall stiffness of the pad. The filament may be tightened and loosened by a spool. The spool may receive a signal regarding the impending impact from a sensor that is a part of the article of apparel, or a sensor that is separate from it.
Systems and methods for measuring and/or analyzing swing information
In a first aspect, a method for monitoring a golf swing is provided that includes coupling a mobile telephone to a golf club and employing the mobile telephone coupled to the golf club to monitor acceleration of the mobile telephone as the mobile telephone swings while a user swings the golf club, collect acceleration information based on the monitored acceleration of the mobile telephone as the mobile telephone swings, analyze the collected acceleration information to determine one or more characteristics of the golf swing based on the collected acceleration information, and output information regarding the one or more characteristics of the golf swing on the display of the mobile telephone. Numerous other aspects are provided.