A measuring device for a pedal plane angle of a bicycle includes a pedal body, an angle sensing unit and a central processing unit (CPU). The angle sensing unit is disposed in an accommodating chamber of the pedal body, and senses an angle of the pedal body to send an angle sensing signal. The CPU analyzes the angle sensing signal to obtain angle data of the pedal body relative to an angle of a reference plane to accordingly learn an angle relationship between the pedal body and the reference plane. The angle relationship may coordinate with other sensing units, for example, data of a pedaling force sensing unit to mutually correct and analyze the data, so as to obtain correct pedaling force information. With the angle data, whether a pedaling angle of a rider is correct can be learned to prevent sports injuries caused by incorrect pedaling angles.

A force measurement device has a motion dampening device having at least two ends. A first end is releasably engaged to a base frame and a second end is releasably engaged to a moveable member. A load cell is in communication with the motion dampening device. The load cell measures a force imparted by a user and the load cell registers the force to a display which depicts the registered force exerted by the user. A method for measuring the force a user imparts onto an exercise apparatus comprises the user imparting force onto a moveable member. The motion dampening device imparts a force substantially opposite to the user force and a load cell measures the force exerted by the user. The force is transmitted to a display wherein the display depicts the registered force imparted by the user.

An adhesively coupled power-meter measures one or more of force, torque, power, and velocity of a mechanical arm. The power meter includes a plate with a first surface prepared for adhesively coupling to the mechanical arm. At least one strain gauge is physically coupled with a second surface, opposite the first, of the plate and with an orientation corresponding to an orientation of the adhesively coupled power meter such that mechanical forces are transferred from mechanical arm to the at least one strain gauge when the plate is adhesively coupled to the mechanical arm. The power meter also includes electronics for receiving a signal from the at least one strain gauge and for determining one or more of force, torque, power and velocity from the signal, and a wireless transmitter for transmitting one or more of force, torque, power and velocity to a receiving device.

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.

A training apparatus includes an operating rod, a strength detector, a motion position detector, a strength speed calculator, a boundary line arrival speed calculator, and a motion speed calculator. The operating rod moves a held limb. The strength detector outputs a strength component signal based on a magnitude of a strength component. The motion position detector detects a motion position of the operating rod. The strength speed calculator calculates a strength speed. The boundary line arrival speed calculator calculates a boundary line arrival speed whose absolute value is smaller as a boundary line distance is shorter. The motion speed calculator calculates a lower one of the strength speed and the boundary line arrival speed as the motion speed at which the operating rod should move.

Provided is an information processing device including an acquisition unit configured to acquire motion information of a foot of a user measured by a motion measurement device and a determination unit configured to determine whether or not the user is in a pedaling state in which the user pedals a bicycle based on an angle between a sole and a ground generated from the motion information.

Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a treatment device, a master console, a user interface, and a control system. The treatment device comprises one or more slave sensors and a slave pressure system, the treatment device configured to be manipulated while a patient performs a treatment plan. The master console comprises a master device. The user interface comprises an output device configured to present telemedicine information associated with a telemedicine session. The control system comprises one or more processing devices operatively coupled to the master console and the treatment device. The one or more processing devices are configured to receive slave sensor data from the one or more slave sensors, use a manipulation of the master device to generate a manipulation instruction, transmit the manipulation instruction, and during the telemedicine session, use the manipulation instruction to cause the slave pressure system to activate.

Provided is an information processing device including an action information acquisition unit configured to acquire action information of a user, a pedaling period extracting unit configured to extract a plurality of pedaling periods during which the user pedals a bicycle from the action information, and a calculation unit configured to calculate a non-pedaling time during which the user is on the bicycle and does not pedal based on a start time of each of the plurality of pedaling periods and an end time of each of the plurality of pedaling periods.

A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.