A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

A solution for estimating effectiveness of periodic motion during a physical exercise. such as a running exercise, is disclosed. According to an aspect, a computer-implemented method for estimating the effectiveness of the periodic motion includes: measuring, by using at least one motion sensor, periodic motion of a user, and thus acquiring motion measurement data during a time interval of a physical exercise; transforming the motion measurement data into frequency-domain samples; extracting, amongst the frequency-domain samples by using peak detection, a first subset of frequency-domain samples representing periodic motion; computing a metric indicating a ratio between energy on the first subset of frequency domain samples and energy on other frequency domain samples; and mapping the computed ratio to an effectiveness parameter by using a determined mapping rule and outputting the effectiveness parameter via an interface.

According to one exemplary embodiment, an apparatus, system, method and/or computer program product may provide an athletic training performance analysis apparatus including at least one athletic training performance analysis device including at least one electronic sensor coupled to the at least one athletic training performance analysis device; at least one user interface coupled to the at least one athletic training performance analysis device configured to interact with a user to receive a user selection of at least one training performance analysis routine, the at least one user interface may include: at least one electronic computer processor coupled to the at least one electronic sensor; at least one input device coupled to the at least one electronic computer processor to receive the user selection; at least one output device coupled to the at least one electronic computer processor to provide output to the user; at least one electronic memory coupled to the at least one electronic computer processor; and at least one of: wherein the at least one electronic computer processor is configured to save or retrieve the at least one training performance analysis routine from the at least one memory; where the at least one electronic computer processor is configured to electronically monitor and electronically analyze the at least one training performance analysis routine based on the at least one electronic sensor; wherein the at least one electronic computer processor is configured to randomize at least one challenge by the at least one athletic training performance analysis device; or wherein the electronic computer processor is configured to at least one of: combine a plurality of previously saved of the at least one training performance analysis routine, or shuffle a plurality of previously saved of the at least one training performance analysis routine.

An electronic device for measuring parameters related to activities of a user and determining stamina of the user are disclosed herein. A stamina potential metric may be determined from long-term activities that reduce and rebuild stamina potential. A stamina left metric may be determined. The stamina left metric is indicative of short-term work that the user can perform during a workout. The electronic device may track the stamina potential and the stamina left of the user as well as the various parameters associated with the activities performed by the user and track and update the user’s performance metrics. Furthermore, the device may compare a determined amount of stamina required to perform activities with the stamina potential of the user and recommend activities.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

A gait evaluation apparatus that evaluates a training gait of a paralyzed patient suffering from paralysis in a leg includes an acquisition unit configured to acquire a plurality of motion amounts of a paralyzed body portion according to a gait motion and an evaluation unit configured to evaluate that the gait motion is an abnormal gait in a case where at least one of the motion amounts acquired by the acquisition unit meets any one of a plurality of abnormal gait criteria set in advance. The abnormal gait criteria include at least two or more first criteria, which are criteria relevant to motion amounts of different parts of the paralyzed body portion, or at least two or more second criteria, which are criteria relevant to motion amounts of the same part of the paralyzed body portion in different directions.

A method of providing workout training for a user of an activity tracking system includes displaying a plurality of training plan options to the user on a screen of a personal electronic device, and then receiving a selected training plan option from the user. Selected workout day options are received from the user and the system generates a training schedule for the user based on the selected training plan and the selected workout day options. One or more reminders identify the type of workout for the scheduled day and an option to accept or reject the workout. When the user selects the option to accept the workout, the workout goal associated with the scheduled workout is displayed. The method further includes determining progress toward the workout goal based on the received workout data, and displaying an indicator of progress toward the workout goal on the screen during the workout.

Systems and methods for delivering exercise content to a user of an exercise apparatus include a database storing exercise content, data associated with a content provider and data associated with an application provider, and a platform server operable to facilitate delivery of the exercise content to the exercise apparatus. The platform server delivers for display on the exercise apparatus archived exercise classes for selection by the user, receives from the exercise apparatus a selection, transmits data representing content of the selected archived exercise class, receives performance data from the exercise apparatus based on activity by the user, and generates archived performance data representing archived user performance parameters for a plurality of other users over at least the portion of the selected archived exercise class. Data is synchronized and updated for display by the exercise apparatus to simulate the user competing with at least some of the other users.

Systems, apparatus, and methods for managing workouts via exercise specific user interface elements. Various embodiments of the present disclosure are directed to exercise specific user interface elements (e.g., floating smart timers, etc.) that are automatically pre-populated with data based on prescribed workout information. The user is provided a workout that includes a number of different exercises, and their prescribed completion values. The user can perform the workout and quickly log the pre-populated completion values (if accurate), or alternatively manually enter actual workout data. Additionally, the user can quickly transition through their “checklist” of exercises, based on the prescribed ordering of the workout. The resulting workout data record can be automatically logged at the end of the workout session. The exercise specific user interface allows a user to log workout activity with minimal distraction.

Systems and methods are disclosed for human balance training. The systems and methods involve intermittently occluding the vision of a subject while the subject is engaged in a balance activity, such as walking on a balance beam, for example. Creating a brief period of continuous visual occlusion results in posterior parietal cortex activation, leading to enhanced balance training. The end result is much greater improvement in balance compared to physical training alone.