The disclosure herein provides a golf GPS device with a sensor mechanism to automatically switch between video and audio only modes of the device. More particularly, when a player attaches the golf GPS device to a piece of clothing or hat, the device automatically switches to audio-only mode. When the player detaches the golf GPS device, the device automatically switches to video mode, with or without audio. The golf GPS device further includes one or more processors configured to repeatedly determine in which one of the plurality of holes the device is located, to repeatedly compute a distance between the device and a feature of the determined hole, and to cause to display the hole number of the determined hole and the computed distance on the display screen.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.

A computer-implemented method for (1) receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof, (2) generating, using one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan is generated based on the one or more characteristics of the user, and the treatment plan comprises: (i) a dietary plan that is tailored to manage one or more medical conditions associated with the user, and (ii) an exercise plan comprises one or more exercises associated with the one or more medical conditions, and (3) presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan.

A method for planning parameters of a fitness course is disclosed. The method includes the following steps: generating a plurality of limb motion signals by sensing a plurality of limb motions of a body builder through a sensing module, and sensing a physiological state of the body builder to generate a physiological state signal via the sensing module; obtaining a workout characteristic index (WCI) by performing a first calculation related to the plurality of limb motion signals, and obtaining a physiological effect index (PEI) by performing a second calculation associated with the physiological state signal; obtaining a workout effect index (WEI) by performing a third calculation associated with the WCI and the PEI; and evaluating a plurality of categorical factors associated with the WEI to plan the parameters of the fitness course.

A ski resort safety system and method. A ski resort comprises a piste (300). The ski resort safety system comprises: an anti-collision suit (1), wherein the anti-collision suit (1) is worn by a skier and comprises an inflation device (100) and a control device (200), the inflation device (100) is configured to inflate the anti-collision suit (1) under the control of the control device (200), and the control device (200) is configured to detect the condition of the skier, and when the skier encounters a danger, trigger the inflation device (100) to inflate the anti-collision suit (1), and is configured to transmit a danger signal when detecting the dangerous condition of the skier; and relay devices (301), wherein the relay devices (301) are arranged along the piste (300) at a certain interval so as to receive the danger signal, and transmit a trigger signal to other skiers (2′) on the piste (300). By triggering the anti-collision suits (1) of other skiers (2′) located below an out-of-control skier (2), the out-of-control skier (2) per se can be protected, and other skiers (2′) are also effectively prevented from being accidently damaged.

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.

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 motorized treadmill provided for allowing a user to perform a programed workout. The motorized treadmill includes a base, an endless belt movable relative to the base for allowing a user to exercise thereon, a motor coupled to the endless belt for driving the endless belt to rotate, a signal receiver, and a controller in communication with the motor and the signal receiver. The signal receiver is configured to receive a weight training signal when the user performs the programed workout with free weight equipment. The controller is configured to transmit validated exercise use data when the user is engaging the endless belt. When the signal receiver receives the weight training signal from the free weight equipment, the controller will determine that the user is not engaging the endless belt and stops transmitting the validated exercise use data.

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.

A wireless power system for an exercise machine for providing electrical power wirelessly to an electrical energy storage device or electrical energy consuming device attached to a movable carriage of an exercise machine. The wireless power system for an exercise machine generally includes an exercise machine which includes a frame having one or more rails. A carriage is movably positioned upon the rails to allow an exerciser to move the carriage when performing an exercise. A wireless power receiver is attached to the carriage that wirelessly receives electrical energy transferred from a wireless power transmitter. An electrical energy storage device or an electrical energy consuming device attached to the movable carriage is electrically connected to the wireless power receiver to receive electrical power from the wireless power receiver.