A golf club includes a golf club head, a shaft coupled to the golf club head, a grip attached to the shaft, and an actuator configured to generate a sound. The golf club also includes an impact sensor configured to detect an impact of the golf club head with a golf ball, and an electronic controller configured to command the actuator to generate the sound in response to the impact sensor detecting the impact of the golf club head with the golf ball.

A method f, applied to an electronic device, a device, and a storage medium are provided. An electronic device stores at least one historical ground and a ground parameter corresponding to the historical ground. The method includes after a playground mode is enabled, obtaining a plurality of pieces of first positioning data corresponding to different locations of a user in a motion process, determining a target ground from the at least one historical ground based on the first positioning data and the ground parameter corresponding to the historical ground, and obtaining a plurality of pieces of second positioning data corresponding to different locations of the user in the motion process, and determining a motion route of the user on the target ground in the motion process based on the first positioning data, the second positioning data, a ground parameter corresponding to the target ground, and a preset error threshold.

A method and a device for predicting sports performance, and a computer readable storage medium are provided. The method includes: collecting motion data of a user in a process of the user performing a specific action through a wearable device; and in response to determining that the motion data conforms to action characteristics of the specific action, predicting at least one sports performance of the user performing at least one other action based on the motion data.

Proposed is a pose recognition method using a deep Gaussian mixture model. The pose recognition method includes receiving pose information of a user by an analysis apparatus, inputting the pose information of the user into an analysis model by the analysis apparatus, and outputting a pose recognition result on the basis of an output value of the analysis model by the analysis apparatus. The analysis model may be a deep Gaussian mixture model.

An electronic device includes: a display; at least one sensor; memory storing instructions; and at least one processor operatively connected to the display, the at least one sensor, and the memory and configured to execute the instructions to: provide exercise guidance based on detecting an exercise start trigger, recognize an exercise-ready posture of a user for a specified time period based on sensor data from at least one specified sensor of the at least one sensor, provide exercise posture information related to a type of an exercise corresponding to the exercise-ready posture, drive a recognition schema for counting the exercise corresponding to the exercise-ready posture, perform exercise counting based on the recognition schema, and provide exercise information based on the exercise counting.

A method of generating a calibration factor is described. In an example, the method may include establishing a wireless communication connection with a fitness machine associated with a physical workout session. The method may also include receiving accrued workout data of the physical workout session and first machine data from the fitness machine. method may also include initiating a workout session on the wearable computer based on the first machine data. During the workout session, the method may also include obtaining sensor data, obtaining second machine data, and determining the calibration factor based on the second machine data and the sensor data. The method may also include determining pre-connection fitness data based on the accrued workout data and the calibration factor. The method may also include generating a workout session summary based on the pre-connection fitness data.

A wearable device and method of monitoring and providing feedback of an exercise activity is disclosed. The wearable device includes a wrist band, an ankle band, a strap, a bracelet, or other body part band. The wearable device includes a sensor for monitoring motion/position and pressure data of a user. The wearable device transmits the data to an electronic device. The electronic device monitors a number of characteristics related to the motion pattern of the exercise activity performed by the user and compares it with a predetermined pattern. If the motion pattern does not match with the predetermined pattern, then the electronic device generates a feedback with instructions related to correcting the execution of the exercise activity by the user. The electronic device provides step-by-step instructions of various workout routines for the user to follow, which helps to improve the quality and safety of the user's workout routines.

Systems and techniques for the collection and display of athletic information. Athletic data relating to a single person or group of people is collected at a central location, and subsequently displayed at a desired remote location so that the person or people can review and critique their performance. In addition, athletic data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

Apparatus, systems, and methods are provided for measuring and analyzing movements of a body and for communicating information related to such body movements over a network. In certain embodiments, a system gathers biometric and biomechanical data relating to positions, orientations, and movements of various body parts of a user performed during sports activities, physical rehabilitation, or military or law enforcement activities. The biometric and biomechanical data can be communicated to a local and/or remote interface, which uses digital performance assessment tools to provide a performance evaluation to the user. The performance evaluation may include a graphical representation (e.g., a video), statistical information, and/or a comparison to another user and/or instructor. In some embodiments, the biometric and biomechanical data is communicated wirelessly to one or more devices including a processor, display, and/or data storage medium for further analysis, archiving, and data mining. In some embodiments, the device includes a cellular telephone.

An amusement attraction features a wall structure, a respective set of illuminable handholds distributed over a wall surface of at least one upright wall of the structure, a floor surface residing adjacent to the upright wall on a side thereof faced by the wall surface, and one or more detection devices operable to detect landing of a participant on the floor surface during attempted traversal of the wall surface. A controller is operable to illuminate the handholds in different colour-coded patterns. Each pattern includes illumination of authorized handholds in a first colour, illumination of prohibited handholds in a second colour, and illumination of targeted handholds in a third colour. In a game-play session, participants are tasked with grasping of the targeted handholds while traversing the wall structure, with penalties applied for detected landing of participants on the floor surface and gripping of prohibited handholds.