ClickSense transforms healthcare monitoring by providing real-time tracking of asthma pump usage and user posture, optimizing patient care and treatment adherence. Its advanced features streamline data collection, ensuring precise insights into patient behavior while prioritizing privacy and accessibility, ultimately enhancing healthcare outcomes.
During development, one hurdle we encountered was accurately differentiating between intentional pen clicks and accidental movements. To address this, we refined our algorithm by implementing a combination of motion tracking and machine learning techniques. Additionally, we conducted extensive testing and validation to fine-tune the sensitivity thresholds, ensuring reliable detection while minimizing false positives. This iterative process allowed us to overcome the challenge and deliver a robust solution.
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