Abstract: An emotional engagement detection method based on positive emotional perception is provided, which relates to a field of data analysis technologies. The emotional engagement detection method is to extract features from data of different dimensions during student classroom learning, to achieve information recognition of each dimension, and perform decision fusion and result analysis and application. The emotional engagement detection method is to extract the features from the data of different dimensions during the student classroom learning, applies a fusion strategy based on a deep learning network for subsequent supervision classification, to construct a positive emotional engagement model of a student. Different modalities information such as cognition, emotion and thinking of the student obtained from different means is integrated to a frame, to comprehensively reflect a positive emotion of the student.

Abstract: This application discloses a service processing method, a mobile edge computing device, and a network device, to resolve a technical problem of low resource utilization of an MEC in the prior art. The method includes: receiving, by a first mobile edge computing device, a first service request, where the first service request includes a service type and/or service content; sending, by the first mobile edge computing device, a second service request to a second mobile edge computing device, where the second service request includes at least part of the service type and/or at least part of the service content, and identification information of the first mobile edge computing device; and receiving, by the first mobile edge computing device, service data corresponding to the second service request from the second mobile edge computing device.

Abstract: A mobile edge computing (MEC) management device receives service description information and service execution information that are sent by an exposure function device and that are of a to-be-deployed service, where the service execution information includes information for executing the service description information; determines a target MEC execution device; sends the service description information and the service execution information to the target MEC execution device; receives an execution result of the service execution information from the target MEC execution device, where the execution result is obtained by the target MEC execution device based on the service description information and the service execution information; obtains a service result of the to-be-deployed service based on the execution result; and sends the service result to the exposure function device.

Abstract: This application discloses a service processing method, a mobile edge computing device, and a network device, to resolve a technical problem of low resource utilization of an MEC in the prior art. The method includes: receiving, by a first mobile edge computing device, a first service request, where the first service request includes a service type and/or service content; sending, by the first mobile edge computing device, a second service request to a second mobile edge computing device, where the second service request includes at least part of the service type and/or at least part of the service content, and identification information of the first mobile edge computing device; and receiving, by the first mobile edge computing device, service data corresponding to the second service request from the second mobile edge computing device.