A pacing system for pacing an activity receives a desired pace that includes a timing interval and generates a first pace signal based on the desired pace and corresponding to the timing interval. The system receives feedback on an actual pace of the activity and determines if the actual pace is different than the desired pace. When the actual pace is different, the system generates a second pace signal having a timing that is different than the timing interval. When the actual pace is not different, the system generates the second pace signal in accordance with the timing interval.

A method is for movement in a physically configurable space. The space includes one or more physically configurable elements. A first user is in a first location and in a first position in the physically configurable space. The method includes providing the physically configurable space with at least one sensor, connecting the at least one sensor to a control unit, and sensing at least the first user's first location in the physically configurable space by the at least one sensor. The method further includes configuring the at least one configurable element by the control unit on the basis of sensed information from the at least one sensor so that the first user's allowed moving space is altered. A configurable space is for use with the method.

The present disclosure introduces a method for providing substantially optimal training instructions to a user based on temperature measurements performed by a wearable device. The algorithm determines non-REM sleep phases of the user, measures the maximum temperature of the NREM sleep phase or an averaged value among the maximum values of several NREM sleep phases in a night, and it determines most appropriate training instructions for the user based on that temperature information. Gender and age may also have an effect in the training instruction determinations. Training information and alerts can be given via a smartphone application to the user.

Disclosed are biofeedback methods and devices suitable for providing biofeedback useful 1 for helping a user control an own breathing, for example, to help in inducing deep breathing, and such biofeedback devices further comprising a dispenser for dispensing an inhalable substance.

Provided is an apparatus for managing a player with a guard including a sensor sensing a vital information of a player to calculate an injury risk of the player to thereby manage a condition of the player, the apparatus including: a communication unit receiving the vital information from the guard and transmitting the injury risk to the guard; a memory storing a program calculating the injury risk to manage the condition of the player; and a processor connected to the communication unit and the memory to execute an operation implemented by the program, in which the program may include instructions using the vital information and pre-stored vital recovering ability data of the player to calculate the injury risk of the player.

A pacing system for pacing an activity receives a desired pace that includes a timing interval and generates a first pace signal based on the desired pace and corresponding to the timing interval. The system receives feedback on an actual pace of the activity and determines if the actual pace is different than the desired pace. When the actual pace is different, the system generates a second pace signal having a timing that is different than the timing interval. When the actual pace is not different, the system generates the second pace signal in accordance with the timing interval.

The present disclosure introduces a method for providing substantially optimal training instructions to a user based on temperature measurements performed by a wearable device. The algorithm determines non-REM sleep phases of the user, measures the maximum temperature of the NREM sleep phase or an averaged value among the maximum values of several NREM sleep phases in a night, and it determines most appropriate training instructions for the user based on that temperature information. Gender and age may also have an effect in the training instruction determinations. Training information and alerts can be given via a smartphone application to the user.

An exercise apparatus includes a motor, an operating member driven by the motor, a sensor operable to detect engagement of a user with the operating member, and a controller in communication with the operating member and the sensor. The controller is configured to generate exercise use data when the operating member is driven by the motor. A communication interface is in communication with the controller. In response to the controller determining that the user is engaged with the operating member, the controller is configured to report the exercise use data to the communication interface. In response to the controller determining that the user is not engaged with the operating member, the controller is configured to stop reporting the exercise use data to the communication interface. The communication interface is configured to communicate the reported exercise use data to a third party.

A method of controlling an environmentally controlled chamber includes providing a chamber with at least one infrared heater, a screen configured to stream content, the screen positioned behind an insulating barrier comprising a substantially optically transparent portion, a camera configured to record a user and speakers within the chamber. The method includes sending the user's physiological and/or psychological data and environmental conditions within the chamber to a location remote from the chamber for monitoring, and changing environmental conditions within the chamber based upon the received physiological and/or psychological data or sensed environmental conditions from the location remote from the chamber.

An artificial intelligence-assisted exercise and rehabilitation device includes a frame; at least one mechanical arm, disposed on the frame, a free end of the mechanical arm having an operating part; and an artificial intelligence module, electrically connected to the mechanical arm. The artificial intelligence module automatically identifies a physiological feature of an operator and outputs a control program according to the physiological feature. The control program drives the mechanical arm for the operating part to move along a guidance path. The trajectory of the operator's exercise or rehabilitation exercise can be learned and recorded through artificial intelligence for comparative assessment of the exercise or rehabilitation effectiveness.