Please select the most similar patent number from A, B, C and D. Which number is?
An early education system, which relates to the technical field of digital signal processing. The system comprises: a body sensing capturing module (1), a voice collection module (2), a graphics collection module (3), a character content collection module (4), an interaction display screen (5), an intelligent analysis and recognition module (6), a content filtering and classification module (7), an infant child preference and talent database (8), an infant child behaviour database (9), a teaching plan content knowledge base (10), an offline teaching plan content source (11), a digital library (12) and online contents (13). The early education system can interact, using teaching plan contents which interest an infant child, with the infant child by capturing a behaviour of the infant child, i.e. data in physical aspects and mind (mental) aspects, via an intelligent analysis technique, to form accurate transmission of knowledge, so that 0-6 aged preschool infant children can receive completely personalized and heuristic education within six years, thereby achieving personalized potential development and developing the creative ability of the infant children to the maximum extent.
A: Disclosed in the present invention is a sensor-based separately deployed human body behavior recognition health management system. The system in the present invention comprises a user interaction module and a data acquisition module on a client side, and a model identification module, a data analysis module, and a suggestion module on a server side. The client is deployed on a personal terminal of a user such as a smart phone or smart bracelet, and is used for interacting with the user and collecting behavior data of the user. The server is deployed on a remote host or server and is used for identifying the behavior data of the human body and carrying out corresponding data analysis so as to provide suggestions. The client communicates with the server via a network. The convenient-to-deploy separate human body behavior recognition system in the present invention provides more comprehensive behavior recognition types and more perfect and effective service reminders, and also improves the recognition accuracy and speed, thereby facilitating providing deeper personalized services for users.
B: A system and method for child characteristics identification and potential development and assessment; the system comprises a child characteristics identification module (100a), a cultivation and training module (100b), a child characteristics database (100c), a talent characteristics database (100d) and a comparison and assessment module (100e); the child characteristics identification module (100a) is used to receive the collected child characteristics individual data via a network, to acquire the sample data or history data in the child characteristics database (100c) by accessing the child characteristics database (100c), and to analyze and compare with the collected individual data; the cultivation and training module (100b) is used to receive child characteristics analysis result data coming from the child characteristics identification module, and to match a corresponding training solution to conduct intensive training of advantageous characteristics and remedial training of weak; and the comparison and assessment module (100e) is used to receive the analysis result data coming from the cultivation and training module, to compare the analysis result data with the talent characteristics data obtained from the talent characteristics database (100d), and to assess to obtain an analysis result of child talent characteristics, and potential development direction and probability.
C: A network terminal-based learning display device, capable of assisting learners to build their own knowledge structure system and making a learning method more portable. Through smart phone display of knowledge points and a structural relationship thereof, learners can study at any time or place, taking advantage of fragmented time. The technical solution comprises: a learning display device comprises a network terminal (1c) and a server (2c), the network terminal (1c) comprising: a knowledge point structure display module (11c), displaying a knowledge point structure in a first display mode in a first portion of a display screen, wherein the displayed knowledge point structure includes current knowledge points; a knowledge point content display module (12c), displaying a content of the current knowledge points in a second portion of the display screen, a first transfer module (13c), transferring data in the network terminal to a server (2c), the server (2c) comprising: a knowledge point storage module (22c), storing a classification of knowledge points, structural relationships, tags and content; and a second transfer module (21c), transferring data stored in the knowledge point storage module to the network terminal (1c).
D: An intelligent recognition access control system, comprising a gesture recognition module (1), a fingerprint recognition module (2), an audio signal collection module (3), a video signal collection module (4), a comprehensive information processing module (6), a control module (7), an electromagnetic relay (9), an electromagnetic door (10), and a wireless transceiver module (8); the gesture recognition module (1) and the fingerprint recognition module (2) are electrically connected with the comprehensive information processing module (6); the video signal collection module (4) is connected with the gesture recognition module (1); the comprehensive information processing module (6) is electrically connected with the electromagnetic relay (9), the electromagnetic door (10), an audible and visual alarm (11) and the wireless transceiver module (8) by means of the control module (7); the comprehensive information processing module (6) is used to perform comprehensive processing on gesture recognition results and fingerprint recognition results to obtain comprehensive determination information, and to control the opening and closing of the electromagnetic door (10) according to the comprehensive determination information. By means of gesture recognition, fingerprint recognition and voice recognition, the described access control system achieves secure and user-friendly access control, thus improving security, and diversifying the user experience.
Answer: B