In one aspect of the disclosure, a method that involves keeping state of a video workout program may include communicatively coupling a server in a cloud network to an exercise machine through a first network connection, communicatively coupling the server to a network device through a second network connection, the server providing a video workout program to the exercise machine for execution at the exercise machine to enable a user to perform at least a portion of a workout of the video workout program on the exercise machine, the server keeping state of the video workout program during execution of the video workout program based on inputs from the exercise machine and the network device, and taking an action based on the state. The action may include synchronizing multiple displays, adaptively scaling the video workout program, and/or generating and providing an exercise machine control command to the exercise machine.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

A solution for estimating effectiveness of periodic motion during a physical exercise. such as a running exercise, is disclosed. According to an aspect, a computer-implemented method for estimating the effectiveness of the periodic motion includes: measuring, by using at least one motion sensor, periodic motion of a user, and thus acquiring motion measurement data during a time interval of a physical exercise; transforming the motion measurement data into frequency-domain samples; extracting, amongst the frequency-domain samples by using peak detection, a first subset of frequency-domain samples representing periodic motion; computing a metric indicating a ratio between energy on the first subset of frequency domain samples and energy on other frequency domain samples; and mapping the computed ratio to an effectiveness parameter by using a determined mapping rule and outputting the effectiveness parameter via an interface.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

A handheld underwater aircraft includes a battery compartment (12) and propellers. There are at least two propellers, which are symmetrically distributed on both sides of the battery compartment (12), and are connected to the battery compartment (12). A special design with axes of the propellers being unparallel with an axis of the battery compartment (12) is adopted, and unparallel included angles make component forces generated by the various propellers in a direction of motion of a non-underwater aircraft offset each other, and enable the underwater aircraft to maintain balanced and forward-forward motion. The design with the axes of the propellers being unparallel with the axis of the battery compartment (12) leads to a little power loss, but avoids a larger power loss caused by the impact of water on the human body, thereby comprehensively improving the thrust of the underwater aircraft in use.

Examples are disclosed that relate to methods, computing devices, and systems for determining a user's readiness for an operational task. One example provides a method comprising, during a training phase, receiving training input data including, for each user training session, a training data pair including, as input, a distance of travel, a mode of travel, and one or more environmental conditions, and as ground truth output, a time elapsed for performance of the training task. An artificial intelligence (AI) performance model is trained to model user performance of the training task based on the training data pairs. During a run-time phase, operational input data is received that is associated with an operational task performed by the user. The performance model is used to infer a predicted time elapsed for performance of the operational task.

The vertical fitness center stair tower system is an exercise device intended to provide users with an indoor climate-controlled stair tower, where they can obtain a cardio workout and lower body strengthen in comfort, away from the weather elements, (heat, rain, snow and cold weather) and exercise in a safe facility away from the harm of motor vehicles. Accordingly, the system comprises a tower structure with multiple floors, multiple staircases connecting each floor, and convenient interconnecting landings. Further, the system comprises multiple electric, electronic, entertainment, and HVAC systems that enable users to have a comfortable and enjoyable work out session. Furthermore, a security system with emergency buttons, and a plurality of lighting devices integrated into the tower structure, projects a safe workout place. Thus, the device provides a safe, well lit, less traffic, and comfortable environment in the vertical exercise system.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

The invention relates to a golf bogey (5), characterized in that it comprises at least one humidity sensor. The invention also relates to a device for managing a golf course comprising at least one bogey according to the invention.