The disclosure relates to a steering control device and method for a vehicle and may provide a vehicle steering control device and method capable of doing exercise using the steering wheel of the vehicle to easily do exercise inside the vehicle while driving and preventing drowsy driving.

An indoor, stationary, bicycle training device that provides advantages over conventional designs of exercise bicycles is provided. The stationary bicycle may include a tilting/pivoting mechanism to orient the indoor bicycle to simulate descending or climbing. The indoor bicycle may include flexible and resilient frame elements to support the indoor training device to move side-to-side under some riding situations thereby simulating the side-to-side swaying motion of an outdoor bicycle under the same riding situations. The indoor bicycle may include several combinations of frame adjustments to provide configurable dimensions of the indoor bicycle to adjust the frame to properly fit the rider, which may be adjusted based on corresponding dimensions of a user's outdoor bicycle. Still other aspects of the stationary bicycle device may aid in creating an “outdoor” feeling while using the device.

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.

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.

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.

An exoskeleton fitness device, particularly for exercising a human body, comprises a wearable structure having at least one fastening member, the at least one fastening member configured to fasten the wearable structure to a user's body, at least one mechanical joint having at least one axis of rotation and at least one degree-of-freedom, the at least one mechanical joint fastened to the wearable structure, at least one unit for generating a rotational resistance that counteracts a rotational movement of the at least one mechanical joint, and a controller for controlling the rotational resistance, wherein the controller is configured to control the rotational resistance according to a user setting.

An apparatus for controlling of a training device including a training device configured to absorb a mechanical power applied by a person undertaking physical training, an assistance unit configured to assist the training and/or to make the training more difficult, and an exertion measuring apparatus configured to measure mechanical exertion data of an effort applied by the person during the training, a body sensor configured to measure physiological data of the body of the person, a computing unit configured, with an optimization algorithm, to adjust coefficients, a summand, and delays to prepare a prediction of the physiological data based on a model, and a control unit configured to take a predetermined reference variable for the physiological data, to take the prediction as a control variable, and to control an assistance of the assistance unit as a manipulated variable.

The present disclosure provides a method for performing a treatment plan, wherein the method comprises: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan; receiving second patient data, wherein the second patient data includes a second patient identifier associated with the second patient and a second treatment plan; receiving first measurement data associated with a first performance level of the first treatment plan by the first patient; receiving second measurement data associated with a second performance level of the second treatment plan by the second patient; determining differential data, wherein the determining is based on a contrast of the first or the second measurement data or first or second patient data; and generating, based on the differential data, an instruction to modify an operating state of the treatment apparatus.