Intelligent concentration detection method

Abstract

The invention provides an intelligent concentration detection method. The method comprises the steps of algorithm initialization, data extraction, data labeling, model fitting and model operation. A face feature extraction algorithm, a face attribute detection algorithm, a face detection algorithm, a face key point extraction algorithm, a face recognition algorithm and a head posture estimation algorithm are integrally cooperated to realize rapid identification and detection of head and face information in a learning state by different algorithms, so the accuracy of concentration analysis is improved by identification data obtained from multiple dimensions, and a beneficial direction is provided for concentration improvement.

Description

technical field [0001] The invention belongs to the field of computer vision technology and artificial intelligence technology, and in particular relates to a detection method of intelligent concentration. Background technique [0002] Concentration refers to the degree of concentration and devotion to one thing. The reasons for the lack of concentration are very complicated, and there are both innate and acquired factors. Innate factors include intelligence, heredity, brain damage, caesarean section and other factors; Acquired factors include environment (that is, people, things, time, and land objects), parenting style, emotions and interests (psychological factors), lack of observation, and development of gross movements Insufficient, lack of good reading ability, insufficient auditory development, weak self-control ability, etc. Many people think that boys have bigger body movements and more active, and even think that boys should be lively and outgoing. Therefore, many...

AI Technical Summary

Problems solved by technology

[0004] However, there is no accurate detection method for the learning state of children and students in the prior art, especially for the learning state, such as through long-term video monitoring, using artificial intelligence algorithms to detect, identify, and analyze the micro-movements of the head and face , so as to be able to detect whether there is a lack of concentration

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