Pervasive Lying Posture Tracking

• Published in: arXiv.org
• Main Authors: Alinia, Paratoo, Samadani, Ali, Milosevic, Mladen, Ghasemzadeh, Hassan, Saman Parvaneh
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 19.06.2020
• Subjects: Accelerometers; Algorithms; Classification; Coefficient of variation; Deep learning; Machine learning; Posture; Questions; Sensors; Tracking systems

There exist significant gaps in research about how to design efficient in-bed lying posture tracking systems. These gaps can be articulated through several research questions as follows. First, can we design a single-sensor, pervasive, and inexpensive system that can accurately detect lying postures...