An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition

Wearable sensor-based HAR (human activity recognition) is a popular human activity perception method. However, due to the lack of a unified human activity model, the number and positions of sensors in the existing wearable HAR systems are not the same, which affects the promotion and application. In this paper, an information gain-based human activity model is established, and an attention-based recurrent neural network (namely Attention-RNN) for human activity recognition is designed. Besides, the attention-RNN, which combines bidirectional long short-term memory (BiLSTM) with attention mechanism, was tested on the UCI opportunity challenge dataset. Experiments prove that the proposed human activity model provides guidance for the deployment location of sensors and provides a basis for the selection of the number of sensors, which can reduce the number of sensors used to achieve the same classification effect. In addition, experiments show that the proposed Attention-RNN achieves F1 scores of 0.898 and 0.911 in the ML (Modes of Locomotion) task and GR (Gesture Recognition) task, respectively.

The Scientific Imperative of Advanced Vocational Education Within the Framework of the System of Scientific and Methodological Support of Teachers

In the chapter of the monograph an organizational and activity model of project-organized advanced additional professional pedagogical education (hereinafter referred to as APPE) is presented, which is the basis for the activities of the center for scientific and methodological support of teachers of the K. Minin State Pedagogical University based on the analysis of scientific approaches to the development of the category "advanced education". A universal way of solving urgent problems of evolutionary improvement of the system of vocational education and training and an organizational and managerial mechanism for building a space of opportunities for continuous professional development of teachers is proposed.

COGNITIVE ACTIVITY MODEL OF MUSICIANS-STUDENTS IN CONTEXTUAL LEARNING

One of the urgent problems in professional music education is the lack of a system and mechanisms for the formation of a holistic world picture and systemic personality development of students. The reasons are: inconsistency in the teaching of musical and humanitarian disciplines; training without taking into account the specific personal characteristics of the musicians. This article presents a model of music students’ cognitive activity, built from the standpoint of systemic, personal, activity and contextual approaches. The proposed model of the students-musicians cognitive activity is based on the specific features of the musicians’ cognitive sphere revealed by the method of theoretical analysis. The students-musicians cognitive activity model is presented as a combination of intuitive, logical and transitional modes, in each of which implicit information processing and decision-making are manifested with varying degrees of activity; explicit reproduction of knowledge and decision making, explicit modeling of musical activity. The experience of applying the model in practice has led to the transformation of psychological and pedagogical knowledge in musical activity and the world picture of students.