Disclosed herein are robust disposable alternating tangential flow (ATF) housing and diaphragm pump units and associated methods of manufacturing, testing, wetting, and using the same.

Systems and methods for adjusting resistance on an exercise cycle having a frame and a flywheel include calibration, homing and auto-follow routines. A resistance apparatus comprising an actuator is configured to selectively position the resistance apparatus relative to the flywheel, wherein a distance between the resistance apparatus to the flywheel corresponds to resistance applied to the flywheel. Control components are configured to control operation of the resistance system in response to instructions, and a computing device is configured to output media for an exercise class to a user, the exercise class comprising one or more target resistance ranges corresponding to a segment of the exercise class. The computing device is further configured to selectively implement auto-follow logic configured to determine a target resistance value for a current segment of the exercise class and instruct the control components to adjust the resistance system to the target resistance value.

A training device includes an elastic training band with an integrated strain sensor and an electronic measuring unit. The training device has a thickening formed at ends of the training band, which locally increases the cross-section of the training band.

Controlling an exercise machine includes receiving a stream of measurements of extension of a component of an exercise machine. It further includes characterizing the stream of measurements including detecting at least one extremum having at least one extremum parameter. It further includes matching the extremum parameter with a previously determined signature associated with a user. It further includes changing an output of the exercise machine based at least in part on the match.

Controlling an exercise machine includes receiving a stream of measurements of extension of a component of an exercise machine. It further includes detecting a first phase of a repeated motion. It further includes detecting a transition to a second phase of the repeated motion. A time constraint is applied to the detection of the transition to the second phase of the repeated motion. It further includes controlling a resistance associated with the second phase of the repeated motion.

Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

An exercise machine is disclosed. The exercise machine comprises a motor. The exercise machine comprises a gearbox coupled to the motor, wherein the gearbox comprises bevel gears. The exercise machine comprises a spool coupled to the gearbox. The exercise machine comprises a cable wound about the spool.

A second exercise machine is disclosed. The second exercise machine comprises a motor. The second exercise machine comprises a lockable translatable mount. The second exercise machine comprises a cable coupled to the motor via the lockable translatable mount. The second exercise machine comprises a sensor coupled to the lockable translatable mount, wherein the sensor is used at least in part to determine mount lock state.

A third exercise machine is disclosed. The third exercise machine comprises a motor. The third exercise machine comprises a mount. The third exercise machine comprises a cable coupled to the motor via the mount. The third exercise machine comprises a sensor coupled to the mount, wherein the sensor is used at least in part to determine mount lock state. The third exercise machine comprises a lockable arm coupled to the mount and a second sensor coupled to the lockable arm, wherein the second sensor is used at least in part to determine arm angle.

A device includes a signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic. The device may be used as a toy, and may be shaped like a play ball or as a handheld unit. It may be powered from a battery, either chargeable from an AC power source directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to sensed acceleration magnitude or direction, such as sensing the crossing of a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

Sensor data is collected from a sensor monitoring a tension generating device of an exercise machine. The sensor data is analyzed to determine whether the sensor data is within a specification. In the event the sensor data is not within a specification, an error stop mode is entered for the tension generating device.