A Context-Aware Readout System for Sparse Touch Sensing Array Using Ultra-low-power Always-on Event Detection
Hyeri Roh, Woo-Seok Choi

TL;DR
This paper introduces an ultra-low-power, context-aware readout system for large touch sensing arrays that significantly reduces energy consumption by detecting touch events using lightweight compressed sensing, enabling efficient operation.
Contribution
The paper presents a novel ultra-low-power event detection method based on compressed sensing, enabling energy-efficient touch sensing with large panels.
Findings
Energy efficiency improved by up to 42 times
Effective detection of sparse touch events
Reduced power consumption during idle periods
Abstract
Increasing demand for larger touch screen panels (TSPs) places more energy burden to mobile systems with conventional sensing methods. To mitigate this problem, taking advantage of the touch event sparsity, this paper proposes a novel TSP readout system that can obtain huge energy saving by turning off the readout circuits when none of the sensors are activated. To this end, a novel ultra-low-power always-on event and region of interest detection based on lightweight compressed sensing is proposed. Exploiting the proposed event detector, the context-aware TSP readout system, which can improve the energy efficiency by up to 42x, is presented.
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Taxonomy
TopicsPersonal Information Management and User Behavior · Context-Aware Activity Recognition Systems · Green IT and Sustainability
