Abstract: Provided is a dynamic protection method and system for a linear vibration motor. The method includes S1: calculating original voltage signal according to initial gain coefficient; S2: processing the original voltage signal of each frame, and obtaining driving voltage signal; S3: loading the driving voltage signal to the linear vibration motor to drive the linear vibration motor to operate; S4: collecting acceleration signal of the linear vibration motor, and analyzing whether the acceleration signal is abnormal to determine operating state of the linear vibration motor; if yes, performing S5; and if not, performing S6; S5: adjusting current gain coefficient of current signal frame to new gain coefficient; and S6: determining whether the current signal frame is the last signal frame. With this method, voltage parameter can be automatically adjusted for the linear vibration motor to reduce abnormal noise to prolong the service life of the device.

Abstract: A haptic feedback method, system and related device for matching split-track music to vibration are provided. The method includes: acquiring raw audio data; obtaining multiple split-track audio data by splitting the raw audio data by using a predetermined deep learning model; calculating an energy proportion corresponding to a respective split-track audio data in the raw audio data; determining a weight of the respective split-track audio data according to the energy proportion; performing weighting calculation on the multiple split-track audio data according to a predetermined weighting rule, to obtain a time-frequency spectrum; generating a matched vibration signal corresponding to the raw audio data based on the time-frequency spectrum; and outputting a haptic feedback effect according to the matched vibration signal. The audio data can be matched to vibration, and a vibration feedback that more precisely matches cadences and rhythms of the audio data can be output.

Abstract: The method for dynamically adjusting vibration feedback with audio includes: acquiring original audio data; defining preset signal vibration thresholds, tracking instantaneous audio power envelopes of the original audio data to obtain corresponding instantaneous power features, and adaptively adjusting the preset signal vibration thresholds according to the instantaneous power features to obtain signal vibration thresholds; determining the vibration intervals for the original audio data according to the instantaneous power features and the signal vibration thresholds, and dynamically adjusting vibration signal amplitude envelopes of the original audio data to generate vibration driving signals; and outputting vibration feedback based on the vibration driving signals.

Abstract: A method of generating a vibration feedback signal is provided and includes: generating an energy change trend curve (with a frame number as a horizontal axis and an energy change value as a vertical axis) of audio based on audio data; comparing an energy change value in the energy change trend curve with a preset energy change threshold; dividing the audio into audio segments based on a comparison result (indicating a tempo change trend of audio); matching a vibration feedback signal to the respective audio segment based on the tempo change trend; performing splicing process on all vibration feedback signals to obtain a target vibration feedback signal. The target vibration feedback signal obtained by splicing the vibration feedback signals finally matched to the audio segments conforms to the overall tempo change trend of the audio, thus effectively improving the rationality on matching between the audio and the vibration feedback signal.

Abstract: A haptic feedback method, system and related device for matching split-track music to vibration are provided. The method includes: acquiring raw audio data; obtaining multiple split-track audio data by splitting the raw audio data by using a predetermined deep learning model; calculating an energy proportion corresponding to a respective split-track audio data in the raw audio data; determining a weight of the respective split-track audio data according to the energy proportion; performing weighting calculation on the multiple split-track audio data according to a predetermined weighting rule, to obtain a time-frequency spectrum; generating a matched vibration signal corresponding to the raw audio data based on the time-frequency spectrum; and outputting a haptic feedback effect according to the matched vibration signal. The audio data can be matched to vibration, and a vibration feedback that more precisely matches cadences and rhythms of the audio data can be output.