Motion Recognition and Students’ Achievement

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS African Journal of Information Systems Pub Date : 2020-02-02 DOI:10.24167/SISFORMA.V6I2.2468
Wen-Fu Pan, A. Subarno, Mei-Ying Chien, Ching-Dar Lin
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引用次数: 1

Abstract

Human motion has multifarious meanings that can be recognized using a facial detection machine. This article aims to explore body motion recognition to explain the relationship between students’ motions and their achievement, as well as teachers’ responses to students’ motions, and especially to negative ones. Students’ motions can be identified according to three categories; facial expression, hand gestures, and body position and movement. Facial expression covers four categories, namely, contempt, fear, happiness, and sadness. Contempt is used to express conflicted feelings, fear to express unpleasantness, happiness to express satisfaction, and sadness to express that the environment is uncomfortable. Hand gestures can likewise be grouped into four categories: conversational gestures, controlling gestures, manipulative gestures, and communicative gestures. Conversational gestures refer to communicative gestures. Controlling gestures refer to vision-based interface communications, like the ones popular in current technology. Manipulative gestures refer to ones used in human interaction with virtual objects. Communicative gestures relate to human interaction, and therefore involve the field of psychology. Body position and movement also can be classified into four categories, namely: leaning forward, leaning backward, correct posture, and physical relocation. Leaning forward happens when a user is working with a high level of concentration. Leaning backward occurs when a user has been highly concentrated on work for several hours, and needs a break or change. Correct posture is the sign of an enjoyable working position which involves sitting in a free and relaxed manner. Movement refers to a change to the student’s sitting location, reflecting some inadequacy of the learning environment. Teachers can anticipate changes of students’ emotions by good learning design, teaching metacognitive skills, self-regulated performance, exploratory talks, mastery approach/avoidance, using hybrid learning environments, and controlling space within classrooms. Teachers’ responses to students’ motions will be explored in this article
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动作识别与学生成绩
人类的动作有多种含义,可以通过面部检测机器来识别。本文旨在探讨身体动作识别,以解释学生动作与成绩的关系,以及教师对学生动作,特别是消极动作的反应。学生的动作可分为三类;面部表情,手势,身体位置和动作。面部表情有四种,分别是轻蔑、恐惧、快乐和悲伤。轻蔑是用来表达矛盾的感觉,恐惧是用来表达不愉快,快乐是用来表达满意,悲伤是用来表达环境不舒服。手势同样可以分为四类:会话手势、控制手势、操纵手势和交流手势。会话手势指的是交际手势。控制手势指的是基于视觉的界面通信,就像当前技术中流行的那样。操纵性手势是指人类与虚拟物体交互时使用的手势。交际手势与人类互动有关,因此涉及心理学领域。身体的位置和运动也可以分为四类,即:前倾,后倾,正确的姿势,和物理搬迁。当用户高度集中精力工作时,身体前倾就会发生。当用户高度集中精力工作了几个小时,需要休息或改变时,就会向后倾斜。正确的姿势是一个愉快的工作姿势的标志,它包括以自由和放松的方式坐着。运动是指学生坐姿的改变,反映了学习环境的一些不足。教师可以通过良好的学习设计、教授元认知技能、自我调节表现、探索性谈话、掌握式/回避式、使用混合学习环境、控制课堂空间等方法来预测学生情绪的变化。本文将探讨教师对学生运动的反应
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来源期刊
African Journal of Information Systems
African Journal of Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
14.30%
发文量
0
审稿时长
30 weeks
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