Open AccessHuman-posture-tracking sensor selection for motion recognition
Author(s) -
Chong Wei Tan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2113/1/012001
Subject(s) - wearable computer , tracking (education) , computer vision , motion (physics) , match moving , motion sensors , human motion , computer science , artificial intelligence , tracking system , psychology , embedded system , filter (signal processing) , pedagogy
Very recently special attention has been paid to soft sensors for motion tracking. It is known from the work by Chen et al [2021, Comp Anim Virtual Worlds. 2021; e1993.] that a wearable motion tracking system was developed, in which five sensors were placed around the region of arm and shoulder. In this study, we explore the effect of different sensors on motion recognition and select the sensors with excellent differentiation for different movements.