Artificial Intelligence Driven Tilt Sensor Based Smart Drinking Device For Stroke Survivors

The proposed work introduces a tilt sensor device designed to monitor glass orientation during drinking activities in stroke survivors. Phase 1 of the study assessed the device’s reliability in 96 normal individuals, achieving a correlation coefficient (r) of 0.99. In Phase 2, 96 stroke survivors were divided into six subgroups based on specific tilt orientations of the glass during activity. The device’s concurrent validity, measured by Pearson’s correlation, was 0.78 compared to motion analysis data from KINOVEA. Intraclass correlation (ICC) analysis demonstrated high agreement of 0.99 between the actual angle readings and the measurement angle from each trial. Results indicated that the device significantly reduced orientation range from 2.31 degrees without feedback to 0.85 degrees with feedback, highlighting its effectiveness in providing real-time feedback during drinking tasks. Additionally, the test-retest reliability (interclass correlation) was 0.99, supporting the device’s consistency over time. Further work will involve the path for development of an AI-driven app using SQL files from data collected from stroke survivors, aiming to provide personalized rehabilitation strategies. The developed tilt sensor device shows promise as a reliable tool for monitoring glass orientation during drinking activities in stroke survivors, with potential implications for enhancing rehabilitation outcomes in this population.