The technology disclosed here involves analyzing an activity session. An example method involves receiving activity data indicative of an activity of a user, the activity data comprising a plurality of measurements associated with multiple parameters monitored during an activity session; retrieving a set of criteria corresponding to an activity type, wherein the set comprises a criterion related to a biomedical parameter and a criterion related to a resistance parameter; classifying, based on the set of criteria, the received activity data into a plurality of segments, wherein a first segment comprises a portion of the activity data corresponding to the activity type; accessing historical data associated with the user, the historical data comprising a second segment of historical data corresponding to the activity type; comparing the first segment comprising the portion of the received activity data and the second segment comprising historical data; and generating output based on the comparing.

The invention comprises a differential air pressure exercise system, comprising: a base; a pair of uprights on the base dividing the base into a front portion and a rear portion; a bulkhead extending between and vertically moveable relative to the uprights; a right arm and a left arm attached to the bulkhead extending from the bulkhead towards the base rear portion; a chamber support frame coupling element on the right arm and on the left arm; a hinge coupled to the bulkhead between the left and right arms; a chamber support frame extending between the left and right arms and coupled to the hinge to move between an engaged condition and a lowered condition.

A fitness tracking system for generating movement variables corresponding to movement of a user includes a monitoring device, a personal electronic device, and a remote processing server. The monitoring device is configured to be worn or carried by the user and includes a movement sensor configured to collect movement data. The personal electronic device is operably connected to the monitoring device. At least one of the personal electronic device and the monitoring device is configured to calculate feature data by applying a set of rules to the movement data, to calculate raw speed data corresponding to a speed of the user from the subset of the movement data, and to calculate raw distance data corresponding to a distance moved by the user from the subset of the movement data. The remote processing server includes a machine learning model for processing at least the feature data.

A method for training a runner to reduce variation in a runner's step length while the runner runs is described herein, including positioning at least three markers, wherein a first marker is about a first distance from a second marker, the second marker is about the first distance from a third marker, and the second marker is about the first distance from the first and third markers, and instructing a runner to run and step on or near the markers while running.

An exercise treadmill is disclosed. The treadmill can include one or more sensors to acquire input data. A computer system can trigger one or more actions based on the input data. The input data can correspond to a lengthwise position of the user along a length of a usable surface of the platform and/or a lateral position of the user on the belt. The action(s) can include providing feedback to the user and/or adjusting rotation of the belt and/or a resistance of rotation of the belt. The adjustment can be performed in response to input from a user control requesting the adjustment.

An exercise treadmill is disclosed. The treadmill can be constructed with no obstructing front rails, with one or more side rails, and/or with a structural flat or ramped surface at the front allowing the user to exercise with unconstrained motion. The treadmill can further include one or more accommodations to help the user stay safe, remain longitudinally centered, and/or adjust speed with controls built into the treadmill, or automatically based on body position relative to sensors built into the side rails. The treadmill belt may be motor driven, or be user driven and dynamically moderated by resistance. The treadmill configuration can be utilized to provide a virtualized exercise experience for the user.

A method for controlling an electric actuator in an exercise device, comprising: supplying a first load set point (F.sub.A, k.sub.A) upon a displacement of the load element in a first direction, supplying a second load set point (F.sub.B, k.sub.B) upon a displacement of the load element in a second direction, and detecting an initial position (M) of the moving part of the electric actuator when the reversal of the movement is detected, computing an end-of-transition position (N) exhibiting a deviation in the second direction relative to the initial position, supplying a transition load set point in the form of a monotonic function of the position of the moving part of the electric actuator or of the load element, said monotonic function varying from the first load set point (F.sub.A, k.sub.A) to the second load set point (F.sub.B, k.sub.B) between the initial position (M) and the end-of-transition position (N).

An electronic device may comprise audio processing circuitry, pace tracking circuitry, and positioning circuitry. The pace tracking circuitry may be operable to selects a tempo of songs for playback, by the audio processing circuitry based on position data generated by the positioning circuitry, a desired tempo, and whether the songs are stored locally or network-accessible. The position data may indicate the pace of a runner during a preceding, determined time interval. The pace tracking circuitry may control the song selection and/or time stretching based on a runner profile data stored in memory of the music device. The profile data may include runner's distance-per-stride data. The electronic device may include sensors operable to function as a pedometer. The pace tracking circuitry may update the distance-per-stride data based on the position data and based on data output by the one or more sensors.

An elliptical exercise machine may include a base, one or more upright stanchions coupled to the base and extending upward from the base and supporting first and second cranks. The first crank may support a first crank arm. The first crank arm may support a first pedal leg hanging downward from the first crank arm. The first pedal leg may support a right pedal. The right pedal may be configured to swing forward and rearward and to raise upward and lower downward. The second crank may support a second crank arm. The second crank arm may support a second pedal leg hanging downward from the second crank arm. The second pedal leg may support a left pedal. The left pedal may be configured to swing forward and rearward and to raise upward and lower downward.

An Interactive Exercise Activity System and Methods configured to provide environmental feedback stimulation based on group and individual performance data. The system and methods provide for the analysis of group performance data; whereby a reactive output is generated and configured to control environmental stimuli such as screen visualizations, ambient and equipment lighting, audio systems, and ventilation systems. The system and methods further utilize a gamification system which allows distinct exercise groups to compete against each other, whether on-site or remotely. The system and methods further provides for a transmission of a summary of an individual or group performance data at the completion of a workout session. An additional embodiment of the system and methods includes providing environmental stimulation to a user based on individual performance metrics.