Engineering and Technology

Deep learning enabled smart mats as a scalable floor monitoring system

Q. Shi, Z. Zhang, et al.

This innovative paper introduces a smart floor monitoring system that integrates self-powered triboelectric floor mats with cutting-edge deep learning data analytics. The unique design significantly reduces system complexity and enhances user applications in various environments. The research was conducted by Qiongfeng Shi, Zixuan Zhang, Tianyiyi He, Zhongda Sun, Bingjie Wang, Yuqin Feng, Xuechuan Shan, Budiman Salam, and Chengkuo Lee.

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Abstract

This paper presents a smart floor monitoring system integrating self-powered triboelectric floor mats and deep learning-based data analytics. The low-cost, scalable mats use unique electrode patterns for parallel connection, simplifying system complexity and reducing computational cost. The system analyzes sensory data to determine stepping position, activity status, and user identity, enabling applications in smart buildings and homes for intelligent automation, healthcare, and security.

Publisher

Nature Communications

Published On

Sep 14, 2020

Authors

Qiongfeng Shi, Zixuan Zhang, Tianyiyi He, Zhongda Sun, Bingjie Wang, Yuqin Feng, Xuechuan Shan, Budiman Salam, Chengkuo Lee

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