[PDF][PDF] Method Development Through Landmark Point Extraction for Gesture Classification With Computer Vision and MediaPipe.

S Suherman, A Suhendra, E Ernastuti - TEM Journal, 2023 - temjournal.com
S Suherman, A Suhendra, E Ernastuti
TEM Journal, 2023temjournal.com
40TExamining the physical movements of students during their educational quests holds
great significance as these nonverbal cues can exert a substantial influence on academic
performance, and boost, learning outcomes, Consequently, numerous researchers are
engaged in exploring the domain of gesture categorization employing machine learning
techniques. 40T 40TInitially, we conducted an observation of students' movements in a
virtual learning environment during face-to-face interactions with their teachers. This …
Abstract
40TExamining the physical movements of students during their educational quests holds great significance as these nonverbal cues can exert a substantial influence on academic performance, and boost, learning outcomes, Consequently, numerous researchers are engaged in exploring the domain of gesture categorization employing machine learning techniques. 40T
40TInitially, we conducted an observation of students’ movements in a virtual learning environment during face-to-face interactions with their teachers. This procedure yielded a roster of thirteen motionbased behaviors, encompassing actions such as tilting the head towards either direction, lowering and lifting the head, as well as gesturing with the right and left hand towards the head and neck area, and positioning the shoulders in a front and lateral direction. 40T
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