As part of the early-stage validation of our project, a mock proposal session was conducted to present ResQ to the temporary instructors of the Department of Computer Engineering, University of Peradeniya.
The session aimed to evaluate the feasibility, technical soundness, and practical relevance of the proposed solution at an early stage. We discussed the limitations of conventional CPR training manikins and explained how ResQ uses embedded sensing to provide real-time, objective feedback on compression quality.
The instructors offered valuable feedback on system architecture, sensor accuracy, scalability, and alignment with CPR training standards. These insights helped us critically assess our initial assumptions and identify areas requiring further investigation.
Overall, the mock proposal session served as an important milestone in refining the direction of the ResQ project. The feedback received will directly inform further research, system optimization, and design decisions, ensuring that the proposed solution is technically sound, pedagogically effective, and aligned with real-world CPR training requirements.