The present disclosure includes collecting motion data that is obtained at the time of a setting motion of a user using N sensors which are individually attached to N regions, for a plurality of users; doing deep learning of the motion data, and acquiring reference motion ranges of each region; acquiring the motion data using M sensors that are attached to M regions of the learner during the setting motion of the learner, comparing with the reference motion ranges, and guiding a motion of the learner by providing comparison results; comparing the amount of exercise of the learner with a reference amount of exercise, if the motion data of each of the M regions satisfies all corresponding reference motion ranges; and providing a notification message which induces attachment of an additional sensor, if the amount of exercise of the learner does not satisfy the reference amount of exercise.

Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

In a first aspect, a method is provided that includes the steps of (1) providing a monitor for determining a level of exercise performance performed by an exerciser and for outputting a signal representative of the performance level; (2) using the monitor to measure a level of exercise performance performed by an exerciser; (3) outputting from the monitor a signal representative of the performance level; (4) providing a video game having a character, the video game inputting and being responsive to the performance level signal output by the monitor, the video game using the performance level signal to control a performance level of the video game character; and (5) while the exerciser is not exercising, controlling a performance level of the video game character based on a performance level signal output by the monitor.

Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

In a first aspect, a method is provided that includes the steps of (1) providing a monitor for determining a level of exercise performance performed by an exerciser and for outputting a signal representative of the performance level; (2) using the monitor to measure a level of exercise performance performed by an exerciser; (3) outputting from the monitor a signal representative of the performance level; (4) providing a video game having a character, the video game inputting and being responsive to the performance level signal output by the monitor, the video game using the performance level signal to control a performance level of the video game character; and (5) while the exerciser is not exercising, controlling a performance level of the video game character based on a performance level signal output by the monitor.

An information processing apparatus includes a setting unit and a providing unit. The setting unit sets an exercise intensity. The providing unit provides exercise information used by a user to achieve the exercise intensity.

An electric training apparatus is configured to apply, by a load motor, a load on a rotating body configured to apply a load on an exercising person, detect an exercise physiological response value of the exercising person and a number of revolutions of the rotating body, perform control for gradually increasing the load of the load motor toward a set load upper limit value so that a detection result of the exercise physiological response value of the exercising person approaches a target exercise physiological response value set in advance, and change, before an exercise or during the exercise by the exercising person, the load upper limit value in response to a control command input based on a state of the exercising person, a state of the control, and a perceived exertion scale for the exercising person.

Methods, apparatus, systems and articles of manufacture for measuring and adjusting physical resistance for athletic activities and fitness equipment are disclosed. An example system includes a user-wearable sensor to measure a first level of physical effort during a first athletic activity using fitness equipment and to generate sensor data indicative of the measured first level of physical effort. The example system also includes a controller to receive the sensor data to perform a comparison of the sensor data and data from second athletic activity indicative of a second level of physical effort, and automatically generate a control signal to adjust a setting of the fitness equipment based on the comparison.

In a first aspect, a method is provided that includes the steps of (1) providing a monitor for determining a level of exercise performance performed by an exerciser and for outputting a signal representative of the performance level; (2) using the monitor to measure a level of exercise performance performed by an exerciser; (3) outputting from the monitor a signal representative of the performance level; (4) providing a video game having a character, the video game inputting and being responsive to the performance level signal output by the monitor, the video game using the performance level signal to control a performance level of the video game character; and (5) while the exerciser is not exercising, controlling a performance level of the video game character based on a performance level signal output by the monitor.

Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.