What I did this week
This week, I focused on integrating my component with the team’s modules and preparing for the upcoming demo. Alongside integration, I refined the tap detection algorithm to address common false positive cases and improve typing consistency.
One major update was adding a per-hand cooldown mechanism to prevent multiple taps from being registered too closely together. This addresses cases where neighboring fingers or slight hand motion caused duplicate tap events. Each hand now maintains a short cooldown window after a tap, reducing false double-taps while maintaining responsiveness.
I also continued developing the finger gesture–based state detection to differentiate between “on surface” and “in air” states. This helps ensure that only deliberate surface contacts are treated as taps, improving precision under real typing conditions.
Lastly, I began testing a palm motion detection feature that monitors for large, rapid hand movements. When such motion is detected, tap recognition is temporarily suspended, preventing false triggers when the user adjusts their position or interacts with the screen.
Scheduling
There is no significant schedule change.
What I plan to do next week
Next week, I plan to finalize and fine-tune the new tap detection features, ensuring they perform reliably across different users and lighting conditions. I will complete parameter tuning for the cooldown and palm motion detection, evaluate whether the state detection logic improves accuracy, and conduct end-to-end integration testing. The goal is to deliver a stable, high-accuracy tap detection system ready for the demo.