A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.

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.

A method and apparatus for rehabilitation and training of an injured limb by using the corresponding functional healthy limb to control the motion of the injured limb are presented. A sensor system on the healthy and active limb, a processing unit, and a power supply are provided in the apparatus to provide signals that activate a powered mechanism configured for moving individual bones on the injured passive limb.

A physical fitness system includes a stand assembly including a stand, a computing device mounted on the stand, and at least one integrated docking station for receiving an exercise device. At least one exercise device is configured to be releasably mounted to the docking station. Upon receiving instructions from a user input on the computing device, the system computer processor is configured to transmit instructions over the network from a system network communication interface to an exercise device network communication interface, and upon receiving the instructions, the exercise device processor is configured to activate a driver in the exercise device to change either the resistance applied to the exercise device or the weight carried by the exercise device.

Disclosed is an exercise device for use during an exercise regimen including a push-up exercise. The exercise device for use in a push-up exercise includes a plurality of bar assemblies, a base assembly, a plurality of sensors electrically coupled to a processor, and a transmitter in communication with a memory. The bar assembly comprises a handle configured to be grasped by a user. The rear frame further defines a protrusion configured to be received by a plurality of recesses on the base assembly. The plurality of sensors are configured to sense data responsive to a motion performed by the user. The processor is configured to determine a quality assessment of a performance of the push-up exercise. The memory is configured to store the sensed data and the assessment.

Operational management of a multi-media system includes assessing end user performance with respect to operation of a multi-media device in the multi-media system. Upon determining a performance value derived from assessment of the end user performance exceeds a pre-defined threshold value, the operational management further includes identifying accommodation options that specify modifications to the operation of the multi-media device and/or operations of another multi-media device in the multi-media system that is engaged in a media activity concurrent with the end user of the multi-media device.

A method, system, and computer program for non-invasively monitoring a physiological parameter and providing biofeedback. The method, system, and computer program provide for the non-invasive detection of a physiological parameter by detecting changes in color channel values of a user in a live video feed and presenting biofeedback to the user indicating the relative position of the physiological parameter to an optimal range.

A foot sole pressure measurement instrument includes a measurement unit which is installed on a foot sole part of a subject and measures a pressure applied to the foot sole part of the subject, and an output unit configured to output data of the measured pressure.

An exercise system and an adjustment method thereof. The exercise system includes an exercise machine and a data transmission device. The exercise machine includes a control unit, a storage unit, a stepless force device, a sensor, a user operation part and an operation interface. During exercise, the control unit executes the exercise program to dynamically change resistance according to a sensed location, speed or acceleration of the user operation part and an adjustable parameter. Through the data transmission device, the user can download the personal training parameter from a remote device into the exercise machine, or upload the training result and the personal training parameter to the remote device.

An ideal target weight training recommendation method ascertains a user's ideal target weight with a user-data algorithm that is operable to approximate an available weight value for a user to utilize for a given target weight training recommendation in addition to generating a rate in which a user's muscle fatigues. To do so, the user generates initial completed repetitions until the muscles fatigue. A baseline strength value is calculated with the initial completed repetitions and a baseline strength coefficient. A baseline strength value is created and used in calculating ideal target weight values. A y-intercept approximate functions involving user-selected desired target repetition values. The user manipulates a resistance structure associated with the ideal target weight values and said values are rounded to the nearest whole number. The user-selected desired target repetition values generate a second completed repetition values for subsequent sets for adjustment of a strength curve.