An indoor, stationary, bicycle training device that provides advantages over conventional designs of exercise bicycles is provided. The stationary bicycle may include a tilting/pivoting mechanism to orient the indoor bicycle to simulate descending or climbing. The indoor bicycle may include flexible and resilient frame elements to support the indoor training device to move side-to-side under some riding situations thereby simulating the side-to-side swaying motion of an outdoor bicycle under the same riding situations. The indoor bicycle may include several combinations of frame adjustments to provide configurable dimensions of the indoor bicycle to adjust the frame to properly fit the rider, which may be adjusted based on corresponding dimensions of a user's outdoor bicycle. Still other aspects of the stationary bicycle device may aid in creating an outdoor feeling while using the device.

A bicycle trainer includes an electric treadmill, a controller, and a sensing unit. The electric treadmill includes an endless conveyor belt on which a user may ride a bicycle. The controller is used to control a running speed of the endless conveyor belt. The sensing unit includes a swinging member and a sensor electrically connected with the controller for sensing a swing of the swinging member and sending a corresponding signal in responsive to the swing. The swinging member is disposed across the electric treadmill and swingable back and forth relative to the electric treadmill, such that the swinging member is pushable by a bicycle wheel to swing. The controller adjusts the running speed of the endless conveyor belt based on the corresponding signal. As such, the endless conveyor belt can match the instant riding speed of the user, thereby providing good riding training and experience.

The present embodiments provide systems and methods for aggregating measurements captured by different technologies during a golf swing. By capturing measurements using different technologies, more accurate measurements may be provided to a user by selecting from the measurements, offsetting measurements based on the technologies used, and aligning measurements between devices. Further, by aggregating measurements received from different devices, additional features and functionality may be provided to the user that is absent from any one device used alone. Additionally, by storing the aggregated measurements, users, club fitters and instructors may access and leverage larger databases of measurements to better understand the user's golf swing and to provide better recommendations and instruction to the user.

Systems and methods for a small light weight unit that can be securely held and centered in the palm of the holder during physical activities, such as exercises, including aerobic exercises. The weight unit also includes features for securing the weight in the palm during the exercise to achieve a specific desired weight and intensity of workout.

A computer program product, apparatus, and method may include various operations. The operations may include calibrating a sensor device to identify a heading, wherein the sensor device includes an inertial measurement unit, receiving three-dimensional motion data from the sensor device secured to a body part of a person as the person performs an activity involving movement of the body part, and causing generation of output based on the three-dimensional motion data, wherein the output is based on the movement of the sensor device.

A computer-implemented method for recommending an item of equipment, which comprises: gathering sensed data from a sensor; processing the sensed data in accordance with a biomechanical protocol to determine at least one performance indicator associated with a subject's execution of the biomechanical protocol; and determining at least one recommended feature of an item of equipment based at least in part on the at least one performance indicator. Also, an equipment recommendation system with specific application to hockey, which comprises: a camera configured to produce images representative of execution of a hockey shot of a given type by a subject; an I/O interface; and a processor connected to the camera via the I/O interface and configured to extract parameters from the images and to output, via the I/O interface, a hockey stick recommendation for the subject that is based on the parameters and on the given type of hockey shot.

A launch monitor and method for monitoring putting properties using cameras oriented at different locations and a reference target line; the launch monitor having a computing device for determining various properties of the putting event.

An electronic device is provided. The electronic device analyzes music so as to extract the sound intensity and the rhythm pattern from the music, generates, on the basis of the extracted sound intensity and the extracted rhythm pattern, guide data for an exercise program corresponding to the music, and can determine the exercise content of the exercise program on the basis of the generated guide data and movement information received from a wearable device connected to the electronic device.

A method includes selecting a test, by a computer using a sports social media application. The method also includes selecting a user and sending, by the computer using the social media sports application, test data associated with the test to a device associated with the user.

A modular passive-to-active exoskeleton system utilizes motor unit modules, an electromagnetic-clutch power transmission system, and biometric control. The passive exoskeleton has a stamina-increasing chairless chair function and optional use of magnetic ball-and-socket joints and knee torsion springs. To convert the exoskeleton system into an active robotic wearable device, modular attachments allow for motor units to be securely connected to the exoskeletal frame. An exoskeleton system may contain a knee motor unit that has a transmission system with an electromagnetic clutch that enables a passive mode, active mode, and/or hybrid mode. The motor units are controlled using wireless biometric motion sensors that measure limb joint angle and muscle activity. These motor units also communicate via wireless transmission with a central processing unit of the exoskeleton. This central processing unit serves as a gateway for user feedback from an Internet-of-Things (IoT) device, such as a smartphone, tablet, computer, etc.