Computing device enhanced training environment system comprising a computing device, I/O subsystem for permitting a user to enter at least one attribute of the tmining or of the trainee, a plurality of sensors for generating sensory information, a training environment in which a training activity takes place, a database containing training related information. The computing device enhanced tmining environment system configured for at least one of the following: design a training program for a plurality of users, monitor training program performance, monitor training performance, instruct a user about the training, determine and/or set difficulty level in training apparatus.

An information processing system includes an electronic apparatus including a detector that detects one or more pieces of data indicating an exercise type of a user, the electronic apparatus being attached to an in-use shoe used by the user, and an information processing device including an identification part that identifies the exercise type of the user based on the one or more pieces of data detected by the detector and an output part that outputs applicable shoe information about an applicable shoe corresponding to the type identified by the identification part.

An information processing device comprising at least one processor, wherein the at least one processor is configured to: acquire a plurality of pieces of exercise information indicating each of a plurality of types of exercise amounts measured according to exercise of a subject; acquire a weight derived in advance based on the exercise information for each type of the exercise information; and derive a load amount applied to a body of the subject based on the plurality of pieces of exercise information and the weight.

A method comprises detecting, by one or more processors of a wearable device, a tag identifier of a tag located on exercise equipment. The method also comprises selecting, from a memory of the wearable device, an algorithm from a plurality of stored algorithms responsive to the algorithm having a stored association with the tag identifier and receiving, from a sensor of the wearable device, movement data of a user performing an exercise associated with the exercise equipment. The method may also comprise executing the selected algorithm using the received movement data as input and determining, when the user has completed one repetition of the exercise based on the execution of the selected algorithm using the received movement data. The method may also comprise transmitting a record comprising repetition movement data that was received during the one repetition to a remote computing device.

A training apparatus includes a fixed frame, a training rod, a motor, rotation information detection sensor, tilt angle and position difference calculation units, determination, motor drive and position difference eliminating units. The training rod is supported by the fixed frame in a manner capable of being tilted by a motor about at least an X-axis or a Y-axis so as to hold the limb. The tilt angle calculation unit calculates a tilt angle of the training rod. The position difference calculation unit calculates a position difference. The determination unit obtains the position difference every time when a second time period elapses. If the position difference generated in the second time period is a first threshold or lower, the motor drive unit drives the motor so that the position difference is accumulated and maintained. The position difference eliminating unit resets the position difference at a predetermined timing.

Athletic performance sensing and/or tracking systems include components for measuring or sensing athletic performance data and/or for storing and/or displaying desired information associated with the athletic performance to the user (or others). Such systems can allow users a wide variety of options in creating workouts, selecting and presenting media content during the athletic performance, etc., e.g., to help keep users entertained and motivated. In some instances, user feedback may be used, optionally in combination with objective data relating to a workout, to control features of the workout routine, to control the music or other media content selected and/or presented, and/or to control features of future workout routines and/or the presented media content.

A system and method provides real-time coaching and adjustment to training. A wearable device may be configured for over-the-ear wear, which includes a speaker, a transceiver, and sensors to measure biometric activity in the user while worn during athletic performance training. The system uses a method which compares past performance to current performance and training goals to adjust a training plan during performance for maximizing training results. The system analyzes current and past performance and generates new training performance output goals in real-time based on the user's current performance. The system then transmits coaching output during a live training session instructing the user on how to adjust their performance output during a current training session. Some embodiments include connecting to smart gym apparatus which connect to the system and automatically increase/decrease resistance/speed depending on the system determining a need to change performance output for maximum gains.

An electronic device monitors accelerations using a motion sensor. The electronic device determines a current motion state based on the accelerations. The electronic device identifies a plurality of applications that subscribe to a motion state identification service and notifies a subset of the applications of the current motion state, the subset meeting notification criteria associated with the current motion state.

Embodiments disclosed include a system and method for development of core muscles' support, comprising a means for identifying a user qualifying movement, a means for detecting a core muscle contraction in the identified qualifying movement, a means for discriminating between a core muscle contraction and no core muscle contraction in the identified qualifying movement; and a means to provide feedback to the user.

A method is provided for detecting at least one fitness related activity is provided. Data is obtained from at least one sensor of a wearable device, wherein the at least one sensor detects the data based on at least one body movement of a user wearing the wearable device. Based on the obtained data, the at least one fitness related activity is detected from a set of fitness related activities, wherein the detection is performed without pre-training by the user for the detecting.