{"ID":2846290,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.02694","arxiv_id":"2511.02694","title":"DropleX: Liquid sensing on tablet touchscreens","abstract":"We present DropleX, the first system that enables liquid sensing using the capacitive touchscreen of commodity tablets. DropleX detects microliter-scale liquid samples, and performs non-invasive, through-container measurements for liquid analysis. These capabilities are made possible by a physics-informed mechanism that disables the touchscreen's built-in adaptive filters, originally designed to reject the effects of liquid drops such as rain, without any hardware modifications. We model the touchscreen's sensing capabilities, limits, and non-idealities to inform the design of a signal processing and learning-based pipeline for liquid sensing. Under controlled laboratory conditions, our system achieves 89-99% accuracy in detecting microliter-scale adulteration in soda, wine, and milk, 94-96% accuracy in threshold detection of trace chemical concentrations, and 86-96% accuracy in through-container adulterant detection. These exploratory results demonstrate the potential of repurposing commodity touchscreens as a liquid characterization platform for laboratory settings, food and beverage testing, and chemical analysis applications.","short_abstract":"We present DropleX, the first system that enables liquid sensing using the capacitive touchscreen of commodity tablets. DropleX detects microliter-scale liquid samples, and performs non-invasive, through-container measurements for liquid analysis. These capabilities are made possible by a physics-informed mechanism tha...","url_abs":"https://arxiv.org/abs/2511.02694","url_pdf":"https://arxiv.org/pdf/2511.02694v5","authors":"[\"Siqi Zhang\",\"Mayank Goel\",\"Justin Chan\"]","published":"2025-11-04T16:17:16Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[\"LoRA\"]","has_code":false}