Examples are disclosed that relate to methods, computing devices, and systems for determining a user's readiness for an operational task. One example provides a method comprising, during a training phase, receiving training input data including, for each user training session, a training data pair including, as input, a distance of travel, a mode of travel, and one or more environmental conditions, and as ground truth output, a time elapsed for performance of the training task. An artificial intelligence (AI) performance model is trained to model user performance of the training task based on the training data pairs. During a run-time phase, operational input data is received that is associated with an operational task performed by the user. The performance model is used to infer a predicted time elapsed for performance of the operational task.

A walking support system is a walking support system which supports walking of a user, and includes a display unit, a landing timing detection unit configured to detect landing at the time of walking of the user, a target landing timing setting unit configured to set a target landing timing of the user on the basis of an output of the landing timing detection unit, and a display control unit configured to cause the display unit to display an auxiliary image prompting the user to land at the target landing timing.

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 process the sensor data to derive a physiological measure. The processor is further configured to display, via the display system, the physiological measure, wherein the display system is disposed in the eyewear so that the physiological measure is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle α from a forward direction.

A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.

The present invention relates to a golf ball location ascertaining method and a golf play information providing system. The golf ball location ascertaining method comprises a first step of ascertaining a motion location at which a predetermined motion is taken when a golfer located near a golf ball on a golf field takes the predetermined motion, and a second step of ascertaining the location of the golf ball on a golf course by using golf course data on the golf field and the motion location.

A method of generating a calibration factor is described. In an example, the method may include establishing a wireless communication connection with a fitness machine. The method may also include obtaining first machine data from the fitness machine. The first machine data may specify a type of the fitness machine. The method may also include initiating a workout session on the wearable computer based on the first machine data. During the workout session, the method may also include obtaining sensor data, obtaining second machine data, and determining the calibration factor based on the second machine data and the sensor data. The method may also include generating a workout session summary based on the calibration factor.

Articles of sports equipment, such as striking implements (e.g., sticks) and wearable articles (e.g., skates, helmets) for playing hockey or other activities, in which at least one of the characteristics (e.g., stiffness) of the articles of sports equipment is adaptable and can be altered during use of the sports equipment, such as by comprising an alterable component coupled to a controller, by comprising an alterable component that is autonomously alterable, and/or by an alterable component that can be altered in response to a command of a remote device.

A force detection system includes first and second sets of pressure sensors, memory, and a processing module. The first set of pressure sensors are in an insole of a shoe and the second set of pressure sensors are in an outsole of a shoe. The processing module receives first data regarding the first set of pressure sensors and generates a first digital representation of the first data. The processing module also receives second data regarding the second set of pressure sensors and generates a second digital representation of the second data. The processing module also writes the first and second digital representations to the memory.

The device comprises at least one accelerometer, and a controller receiving input signals from the at least one accelerometer. The controller configured to filter stroke characteristics from the input signal using a filter module. The controller then applies a first statistical module on the filtered signal and obtains a first output signal. Due to the first statistical module, the first output signal is obtained, which is agnostic to type of swim stroke employed by the swimmer. The controller then determines the swim metric based on the first output signal and an adaptive threshold value. The swim metric is lap completion or lap count or turn event, during swimming by a swimmer. The device consumes less power and also agnostic to swim styles and turn styles employed by swimmers.

A method includes providing a first video file to a plurality of exercise machines, the first video file including content associated with an exercise class. The method also includes receiving user data from the plurality of exercise machines, the user data including respective settings associated with a common performance metric. In such a method, the respective settings are used on the plurality of exercise machines during playback of a particular part of the first video file. The method also includes identifying a timestamp associated with the particular part of the first video file, and generating an executable control corresponding to the performance metric. The method further includes generating a second video file comprising the content and the executable control. In such methods, playback of the second video file causes display of the executable control at a part of the second video file corresponding to the timestamp.