Abstract: A smart toothbrush-based tooth-brushing evaluation method, apparatus, terminal device and storage medium are provided. The evaluation method comprises: real-time acquiring toothbrushing data detected by a data detecting device in a smart toothbrush; analyzing the toothbrushing data and performing statistics for each brushed tooth surfaces to obtain a brushing time and a number of times of a high-amplitude brushing-with a brushing amplitude greater than a first threshold, a number of times of a strong brushing with a brushing force greater than a second threshold and of a number of times of a horizontal brushing; determining a number of overtime-brushed tooth surfaces brushed for more than a standard brushing time, a number of times of tooth surfaces brushed at a high amplitude, a number of times of strongly-brushed tooth surfaces and a number of times of horizontally-brushed tooth surfaces according to the brushing time.

Abstract: A smart toothbrush control circuit, a smart toothbrush, and a smart tooth-brushing behavior monitoring method are provided. The smart toothbrush control circuit includes: a main control module, a brush head module, a position detection module, and a pressure detection module. The main control module is connected to a cloud server by a smart terminal. The main control module uploads oral data to the cloud server so as to implement deep-level data analysis and processing on the oral data. The main control module generates a control signal according to the oral data, and the brush head module, the position detection module and the pressure detection module send a variety of behavior guidance and prompts to a user on the basis of the control signal. The smart terminal synchronously display a tooth-brushing behavior of the user on the basis of the control signal.

Abstract: Disclosed are an artificial-intelligence-based toothbrushing recommendation method, apparatus and device, and a storage medium. The toothbrushing recommendation method includes: acquiring toothbrushing data and brush head data detected by a data detection apparatus in an intelligent toothbrush; analyzing the toothbrushing data, and compiling statistics to obtain a toothbrushing condition of each toothbrushing surface, wherein the toothbrushing condition includes a toothbrushing duration, a toothbrushing strength, a toothbrushing amplitude and a horizontal brushing condition; analyzing the brush head data to obtain a brush head condition of the intelligent toothbrush; and forming a recommended first toothbrushing scheme according to the toothbrushing duration, the toothbrushing strength, the toothbrushing amplitude, the horizontal brushing condition and the brush head condition.