Team Status Report
Testing Summary Findings (Vansh)
- Usability & Comfort:
- Participants reported the device as easy to use and quickly adapted to its setup.
- Comfort feedback was positive overall, but the shortest participant suggested slight material adjustments to enhance the fit.
- Step-Count Refinement:
- Improved calibration of the step-detection algorithm ensured accurate results across participants, accommodating differences in stride length and height.
- Casing and Battery:
- Developed a functional casing for the insole and integrated a LIPO battery for reliable, rechargeable power.
- Ensured optimal battery placement for comfort and balanced weight distribution effectively.
- Created a detailed CAD model for the casing design.
- Final Presentation:
- Refined the project’s final presentation to communicate goals, challenges, and progress effectively to stakeholders.
- Integrated detailed visuals and data to showcase testing results and technical milestones clearly.
- Started drafting the final report.
Progress Update (Reva)
- Algorithm Development:
- Fine-tuned data processing algorithms with a focus on noise reduction and optimizing pitch-based thresholding for footstrike detection.
- Integrated the refined algorithms into the main application and tested them using simulated datasets.
- Testing Outcomes:
- Metrics like footstep detection performed well during tests, but stride length calculation remains challenging due to variations in user gait and step patterns.
- Leveraged the app’s visualization tools to verify real-time data flow and detection accuracy.
- Challenges:
- Stride Length Calculation: Accounting for individual variations in stride dynamics to compute stride length reliably.
- Real-Time Integration: Ensuring efficient algorithm performance within the app.
- Edge Cases: Addressing abrupt movement changes highlighted during simulated dataset tests.
Next Steps (Combined):
- Real-World Testing:
- Conduct live data tests with real-world runs to validate algorithms under dynamic conditions and improve stride length calculations.
- Algorithm Refinement:
- Enhance detection algorithms for robustness in handling edge cases and variability in user gaits.
- Continue optimizing stride length computation methods.
- User Feedback:
- Seek feedback from initial users to identify pain points and guide further improvements in both detection algorithms and stride length calculations.
- Finalization Efforts:
- Complete bilateral testing with the second insole prototype.
- Finalize the project’s presentation and report, incorporating additional data visualizations and insights from real-world testing.
This comprehensive report outlines progress, key findings, challenges, and next steps, ensuring alignment across the team.