A running method determination device includes at least one processor that executes a program stored in at least one memory. The at least one processor acquires motion data at a time of running of a user, calculates, based on acceleration data in multiple axial directions included in the acquired motion data, a sum of acceleration vectors in the multiple axial directions as a resultant vector, and determines a type of a running method of the user using at least an angle of the calculated resultant vector as a standard of determination.

Disclosed is a smart barbell (1) which comprises a first bar part (10) and a second bar part (20), each arranged for carrying one or more weights, the first bar part (10) and the second bar part (20) extends along a longitudinal axis (X-X). The barbell (1) further comprises a central bar part (30) arranged between the first and the second bar parts (10, 20) and which is connected to the first bar part (10) and the second bar part (20) and extends along the longitudinal axis (X-X). At least one of the first bar part (10) and the second bar part (20) comprises a cavity (12, 22), in which at least one sensor (40, 50) is arranged for registration of movements of the barbell (1) and for wireless communication with a data analyzing unit (100).

An interactive bowling system using scoring systems and/or other computer infrastructures which interact with visual and/or audio effects within the bowling center. The system includes a management system having stored therein instructions to provide special effects associated with one or more events to one or more special effects components. Upon an occurrence of an event, the management system: determines that the occurrence of the event is associated with one or more special effects; and provides the instructions to the one or more special effects components to effectuate the special effects associated with the one or more events.

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.

Stationary exercise machine with integrated holographic display to simulate depth and motion is disclosed. The disclosure uses an integrated and responsive 3-dimensional (3D) or holographic display attached to and/or integrated with stationary exercise equipment to create a more immersive, engaging and enjoyable stationary exercise experience. The 3D or holographic display provides a more stimulating sensory experience and can better simulate the perception of depth and motion through a 3D virtual environment.

A wearable computing device that is secured or attached to a resilient strap, the resilient strap sized to fit around at least a part of a circumference of a human head. The device has a waterproof storage volume housing a plurality of sensors. The wearable computing device may calculate a plurality of swimming metrics based at least partly on data received from the at least one sensor. The wearable computing device may include a wireless communication subsystem secured to the resilient strap within the waterproof storage volume and may transmit at least one of the calculated plurality of swimming metrics to at least one computing device via the wireless communication subsystem. The wearable computing device may include at least one user output component and may present an indication of at least one of the calculated plurality of swimming metrics at the at least one user output component for communication to the user. The indication may be audio played in an ear piece connected to the strap, or may be visually displayed on a display in an eye goggle portion of the strap.

A wearable exercise apparatus may include one or more of: a torso support including an abdominal frame, a chest frame, a shoulder frame, a back frame, an arm frame, a first guide, a wrist frame, a second guide, a glove, a dial rotatably connected to the chest frame, a string connected to the dial, at least partially wound around the dial, and passing through an inner space of each of the torso support and the first guide, and an elastic band having one end connected to the string and the other end connected to the wrist frame or the glove, passing through an inner space of each of the arm frame and the second guide, and extending or contracting by a tension of the string.

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.

Outdoors training system and methods for designing monitoring and providing feedback of training. The system comprising a computing device, I/O subsystem for permitting a user to enter at least one attribute of the training or of the trainee, a plurality of sensors for generating sensory information, an outdoors training environment in which a training activity takes place, a database containing training related information. The outdoors training system configured for at least one of the following: design a training program for a plurality of users, monitor training program performance, monitor training performance, instruct a user about the training, determine and/or set difficulty level in training apparatus.

A golf instruction method, apparatus and analytics platform for determining the state of a putted golf ball relative to a target using information about the golf ball and external variables and remotely displaying the same, comprising a base unit, a mobile device or terminal, and an associated computer program including an analytics engine for analyzing a user's performance. The computer program determines whether and how a putted golf ball has missed said target and then stores, aggregates and displays that information for a user. The analytics engine is operable to aggregate data, analyze data and then correlate a user's actual skill proficiency to ball performance.