Abstract: A method for driving vibration based on micro-touch, including: acquiring, according to a given input of a touch interface, a plurality of node coordinates of a dynamic effect model corresponding to the given input and a total duration of the node coordinates; generating a dynamic effect curve according to the plurality of node coordinates and the total duration; obtaining a vibration characteristic curve from the dynamic effect curve according to a preset mapping rule; and generating a vibration driving file based on the vibration characteristic curve. The vibration driving file is configured to drive a vibrating motor to vibrate. An apparatus for driving vibration, an electronic device, and a computer-readable storage medium are also provided. The method for driving vibration based on micro-touch and the related device can achieve generation of an appropriate micro-touch interaction effect according to animation matching of application scenes, and bring better user experience.

Abstract: A vibration signal modulation method includes following steps: setting a signal accelerating section parameter according to an expected vibration signal of an application object; setting a corresponding signal braking section parameter and a signal braking section parameter range, constructing a braking section initial particle parameter for a particle swarm algorithm, and performing an iterative search within the signal braking section parameter range to obtain an optimum braking parameter; and superposing a signal corresponding to the optimum braking parameter on a signal corresponding to the signal accelerating section parameter to obtain a final vibration signal. Compared with the related art, in the present disclosure, the signal accelerating section parameter is set, and a to-be-optimized particle swarm is set based on existing parameters.

Abstract: A real-time tactile sensation generation method includes following steps: acquiring a plurality of frames of audio signals by reading an original audio frame by frame; and determining on and off states of a tactile switch: outputting, when the tactile switch is in the off state, the audio signal after high-pass filtering to the vibration-audio integrated device to achieve a separate sound effect; wherein a frequency of the high-pass filtering matches a capacitance value; and generating, when the tactile switch is in the on state, a vibration signal, fusing the audio signal of the current frame after high-pass filtering with the corresponding vibration signal, and outputting a fused signal to the vibration-audio integrated device to achieve a real-time tactile effect of combining sound and vibration. Compared with the related art, the real-time tactile sensation generation method and the related device provided in the present disclosure achieve better real-time tactile feedback experience.

Abstract: A method for driving vibration based on micro-touch, including: acquiring, according to a given input of a touch interface, a plurality of node coordinates of a dynamic effect model corresponding to the given input and a total duration of the node coordinates; generating a dynamic effect curve according to the plurality of node coordinates and the total duration; obtaining a vibration characteristic curve from the dynamic effect curve according to a preset mapping rule; and generating a vibration driving file based on the vibration characteristic curve. The vibration driving file is configured to drive a vibrating motor to vibrate. An apparatus for driving vibration, an electronic device, and a computer-readable storage medium are also provided. The method for driving vibration based on micro-touch and the related device can achieve generation of an appropriate micro-touch interaction effect according to animation matching of application scenes, and bring better user experience.

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.