A baseball pitch selection communication system has a transmitter and a body-worn visual receiver. The transmitter includes a transmitter unit configured to transmit wireless signals, a first microcontroller and a plurality of user actuatable input elements. The first microcontroller is configured to provide the transmitter unit with a selection signal to wirelessly transmit in accordance with actuation of the user actuatable input elements, the selection signal corresponding to a pitch selection. The visual receiver includes a receiving unit configured to wirelessly receive the selection signal, a memory configured to contain a plurality of stored visual instructions, a display configured to display visual instructions, and a second microcontroller. The second microcontroller is configured to control the memory and the display to display a selected visual instruction in accordance with the received selection signal, where the selected visual instruction corresponds to the pitch selection.

An apparatus having a gesture sensor is provided. The gesture sensor includes an image sensing unit and a processing unit. The image sensing unit can capture at least a gesture image of user. The processing unit is electrically connected to the image sensing unit. The processing unit can send at least a control command according to the gesture image to operate the apparatus.

Stationary exercise machine. In one aspect of the disclosure, a stationary exercise machine may include one or more moveable members configured to be moved by a user, an actuator configured to selectively adjust the speed of, or the amount of resistance on, the one or more moveable members, and one or more processors. The one or more processors may be configured to receive a video, execute the video set to a first difficulty level, receive a second difficulty level, and execute the video reset to the second difficulty level.

One or more accelerometers embedded with an earbud and/or a set of earphones are able to sense a moving pace of a user. Based on a moving pace of the user, a signal is sent to a remotely connected electronic device. The electronic device is able to separately increase and decrease a beat or rhythm of the audio from the electronic device based on a pace of the user. In some embodiments, an audio alert is sent to the user to inform the user of pace and whether the user has increased or decreased their pace. Additionally, in some embodiments, a program stored on the electronic device is used to compare the user's current progress and/or speed based on past runs and workouts.

Systems and methods are disclosed for generating a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate 3D avatars.

A computer-implemented system includes a treatment device configured to be manipulated by an individual while the individual performs a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a computing device configured to: identify two or more types of healthcare providers to participate during the telemedicine session in the treatment plan associated with the individual; identify at least one healthcare provider associated with each of the two or more types of the healthcare providers; identify, based on schedules of the identified at least one healthcare provider, one or more available time slots for each respective healthcare provider; identify a first time slot of the available time slots; generate, based on the first time slot, a schedule event; and communicate the schedule event to each of the identified healthcare providers.

A hearing assistance device adapted to be worn by a wearer comprises a processor configured to generate a sequence of audio cues that audibly guide the wearer through a series of actions involving the wearer's head and neck in accordance with a predetermined corrective or therapeutic maneuver. A speaker is configured to play back the sequence of audio cues for reception by the wearer. One or more sensors are configured to sense movement of the head during each of the actions. The processor is configured to determine if head movement for an action associated with each audio cue has been correctly executed by the wearer, and produce an output indicative of successful or unsuccessful execution of the actions by the wearer.

An exercise device system comprising a tower; a support structure inclinable at different angles relative to the tower; a movable user support platform movably associated with the support structure for movement relative to the support structure; a pulley system associated with the movable user support platform; a cable extending through the pulley system and including opposite ends; exercise device handles coupled to the opposite ends of the cable, whereby movement of the handles causes movement of the movable user support platform relative to the support structure.

A balance training system includes a moving carriage configured to be able to move on a moving surface by driving a driving unit, a calculation unit calculating a load's center of gravity of the training person's feet on a boarding surface from the detected load, a setting unit configured to set a stable range, the stable range being a range of the load's center of gravity, and the training person is assumed to maintain upright on the boarding surface in the range; and a control unit performing safety control for ensuring safety during a training attempt for driving the driving unit to move the moving carriage when the control unit determines that the load's center of gravity has fallen outside the stable range or when the control unit predicts that the load's center of gravity is going to fall outside the stable range.

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.