OASIS
During physical training in specific applications, the necessity to provide an environment replicating real situations can be extremely challenging and cost intensive.
OASIS aims to enhance training by providing a clearer perspective and analyzing trainees' performance and strategies across a range of possible situations within a confined establishment using a setup comprising of multiple equipment.
Key Contributions
Researched market trends to evaluate existing technologies, led design and prototyping of the arm sleeve while conceptualizing the omni-treadmill, and developed the circuit and control system, integrating it with the simulation platform.
Mentor
Professor Deepa Nath Department of Electrical and Electronics Engineering MIT-WPU
Milestones
March 2023 HACK MIT-WPU 2023 Winners
System Architecture
Sensor sleeve tracks subject's vitals during operation on the omni-directional treadmill. Collected data from sleeve and treadmill is processed, analyzed, and sent into the database. Performance analysis is conducted to optimize strategies, enhance compatibility, and improve subject'sperformance. Generated reports provide insights for continuous enhancement of subject's capabilities.
1
Concept Design
The omnidirectional treadmill offers haptic feedback for realistic sensations in virtual scenarios. Strap support ensures user security during turbulence. The sensory sleeve gathers data from sensors in a rectangular casing on the arm with Velcro straps.
2
Prototype
Unreal Engine hosts a mock VR headset prototyping simulation with photogrammetry-based environments. These versatile training visuals arecreated using real-life terrains, mapping them into simulations through photogrammetry techniques, even utilizing surveillance footage
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