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BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors by Rytis Maskeliūnas; Robertas Damaševičius; Tomas Blažauskas; Cenker Canbulut; Aušra Adomavičienė; Julius Griškevičius is a Engineering article available to read on EtoBox.
What is BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors about?
Remote patient monitoring is one of the most reliable choices for the availability of health care services for the elderly and/or chronically ill. Rehabilitation requires the exact and medically correct completion of physiotherapy activities. This paper presents BiomacVR, a virtual reality (VR)-based rehabilitation system that combines a VR physical training monitoring environment with upper limb rehabilitation technology for accurate interaction and increasing patients’ engagement in rehabilitation training. The system utilises a deep learning motion identification model called Convolutional Pose Machine (CPM) that uses a stacked hourglass network. The model is trained to precisely locate critical places in the human body using image sequences collected by depth sensors to identify correct and wrong human motions and to assess the effectiveness of physical training based on the scenarios presented. This paper presents the findings of the eight most-frequently used physical training exercise situations from post-stroke rehabilitation methodology. Depth sensors were able to accurately identify key parameters of the posture of a person performing different rehabilitation exercises. T
Who reads BiomacVR: A Virtual Reality-Based System for Precise Human Posture and Motion Analysis in Rehabilitation Exercises Using Depth Sensors?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Rytis Maskeliūnas; Robertas Damaševičius; Tomas Blažauskas; Cenker Canbulut; Aušra Adomavičienė; Julius Griškevičius
- Publisher
- MDPI AG
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)