Abstract: A fall detection-based help-seeking method and an electronic device, to improve accuracy of fall detection performed by an electronic device and reduce a probability of mistakenly triggering automatic help-seeking of the electronic device. A solution includes: the electronic device includes a motion sensor and the motion sensor includes an acceleration sensor or a gyro sensor. The electronic device collects a first motion parameter of a user by using the motion sensor. The electronic device obtains a fall confidence of the first motion parameter if the first motion parameter matches a first preset fall parameter, where the fall confidence of the first motion parameter is used to represent a probability that the first motion parameter is a motion parameter collected when the user falls. The electronic device sends help-seeking information if the fall confidence of the first motion parameter is greater than a preset confidence threshold.

Abstract: A somatosensory interaction method is provided. The electronic device may determine an exercise load of a somatosensory action of somatosensory interaction content based on a figure of a user. During somatosensory interaction, the electronic device may obtain a heart rate of the user to adjust the exercise load of the somatosensory action of the somatosensory interaction content. If an exercise capability indicated by the figure and the heart rate of the user is stronger, the exercise load of the somatosensory action of the somatosensory interaction content is higher. On the contrary, the exercise load of the somatosensory action of the somatosensory interaction content is lower.

Abstract: A swing action detection method is applied to a wearable device including one or more motion sensors and a sound collector. In the method, the wearable device collects a first sound signal using the sound collector to determine whether a user strikes a ball. After a strike action is determined, an exercise parameter of the user is obtained with reference to first exercise data collected by the wearable device using the one or more motion sensors to monitor the strike action of the user, and effectively assist the user in improving a strike rhythm and strike stability.

Abstract: A method includes obtaining a user movement, determining, from the user movement, a candidate movement in which a first motion track of a first body part in the user movement meets a first preset condition, determining a first movement change amplitude of a second body part in the candidate movement, and determining, based on the first movement change amplitude, to output guidance information.

Abstract: A fall detection-based help-seeking method and an electronic device, to improve accuracy of fall detection performed by an electronic device and reduce a probability of mistakenly triggering automatic help-seeking of the electronic device. A solution includes: the electronic device includes a motion sensor and the motion sensor includes an acceleration sensor or a gyro sensor. The electronic device collects a first motion parameter of a user by using the motion sensor. The electronic device obtains a fall confidence of the first motion parameter if the first motion parameter matches a first preset fall parameter, where the fall confidence of the first motion parameter is used to represent a probability that the first motion parameter is a motion parameter collected when the user falls. The electronic device sends help-seeking information if the fall confidence of the first motion parameter is greater than a preset confidence threshold.