Name
Abstract | ||
|---|---|---|
Recent developments in the domains of virtual and augmented reality have created frameworks for exploring new research topics related to applications ranging from unmanned aerial vehicles (UAVs) to devices used in the rehabilitation of patients affected by various disabilities. This paper proposes a novel architecture for a rehabilitation-focused full-body motion tracking Virtual Personal Trainer (VPT) system comprising nine Inertial Measurement Unit (IMU) sensors and a 3D camera. The 3D camera is used for the generation of a point of reference that iss shown to be important for stabilizing the output of the IMU sensors, as well as to counteract the inherent gyroscopic IMU drift and interference from surrounding electromagnetic fields. The fused data is displayed to the user as a 3D virtual reality scene containing visual cues corresponding to the correctness of the useru0027s body. The Unity game engine was used for rendering the 3D interface as it allows for a detailed physics-based real-time visualization of the synchronized virtual skeleton-driven model. This paper therefore describes the design and implementation of the hardware and software of the VPT system, thereby enabling a completely wireless full-body sensor array system to educate, validate, and find solutions for the useru0027s form with reference to an ideal form. Data obtained by measuring various parameters of the system will show how the resulting unrestricted 3-dimensional tracking exhibits the required accuracy for a useful rehabilitation system, thereby providing an affordable alternative to having on-site trainers. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/i2mtc.2018.8409754 | instrumentation and measurement technology conference |
Field | DocType | Citations |
Computer vision,Virtual reality,Visualization,Sensor array,Augmented reality,Control engineering,Software,Inertial measurement unit,Artificial intelligence,Engineering,Rendering (computer graphics),Match moving | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filip Drobnjakovic | 1 | 0 | 0.34 |
| Jeffrey B. Douangpaseuth | 2 | 0 | 0.34 |
| Cristian Gadea | 3 | 37 | 8.40 |
| Meesam Haider | 4 | 0 | 0.68 |
| Dan Ionescu | 5 | 37 | 7.58 |
| bogdan ionescu | 6 | 0 | 1.35 |
| Lucas Poon | 7 | 0 | 0.34 |