2021
DOI: 10.1007/s10772-021-09901-4
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Human–computer interaction based visual feedback system for augmentative and alternative communication

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Cited by 31 publications
(17 citation statements)
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“…Therefore, general drama students need to master the basic principles and theoretical knowledge of related disciplines in order to teach music in the 'human-computer interaction' mode. There are two main ways to implement the "human-computer interaction" model of music teaching for drama students: interactive whiteboards and intelligent musical instruments [11]. Interactive whiteboards are mainly used in campus classrooms, while smart musical instruments are widely used in social education institutions.…”
Section: Objects Of Educational Experiencementioning
confidence: 99%
“…Therefore, general drama students need to master the basic principles and theoretical knowledge of related disciplines in order to teach music in the 'human-computer interaction' mode. There are two main ways to implement the "human-computer interaction" model of music teaching for drama students: interactive whiteboards and intelligent musical instruments [11]. Interactive whiteboards are mainly used in campus classrooms, while smart musical instruments are widely used in social education institutions.…”
Section: Objects Of Educational Experiencementioning
confidence: 99%
“…Single object tracking algorithms became popular and gained interest in resent years because of its wide range of applications in computer vision, including video surveillance [3], augmented reality [4], automated driving [5], mobile robotics [6], traffic monitoring [7], sports video analysis [8], scene understanding [9], and human computer interaction [10]. Single object VOT approaches captures the target's appearance features in the first frame of a video sequence and then use it to locate the target in the remaining frames.…”
Section: Introductionmentioning
confidence: 99%
“…Its purpose is to detect the human keypoints in the image and determine the human pose in the image by obtaining the position information of the human keypoints. With the continuous development of computer vision, research based on human pose estimation has been applied more and more widely, such as human-computer interaction [1], behavior recognition [2], pose tracking [3], etc. In recent years, human pose estimation methods based on convolutional neural networks have achieved remarkable results, but these methods often use deeper neural networks to improve accuracy.…”
Section: Introductionmentioning
confidence: 99%