Self-Powered and Self-Sensing Floor Tiles and Fall Detection System

An increasing number of emerging Internet of Things (IoT) devices are transforming our daily lives in various fields, such as transportation, manufacturing, and home automation. The smart sensing floor offers solutions for tracking and analyzing user movements while maintaining acceptable privacy levels in both public and private spaces. Considering the large number of networked IoT devices on the ground, addressing power supply issues is crucial for efficient installation and convenient maintenance. This paper presents a self-powered and self-sensing smart floor design, with a particular application emphasis on fall detection. The design integrates energy harvesting and information collection, eliminating the reliance on traditional sensors. Each wireless floor tile serves as an integrated self-powered Bluetooth transmitter. It utilizes multiple piezoelectric patches for energy harvesting, a customized energy management circuit to accumulate the generated energy, and a low-power, low-cost system on chip (SoC) for wireless transmission. The signal packets from all tiles are collected and processed through an edge gateway to detect abnormal actions, like falls. A co-design of the piezoelectric array, power management, and transmission circuitry ensures that each step or fall can generate sufficient energy for three rounds of Bluetooth low-energy (BLE) beacon transmission. By receiving immediate data packets from all tiles and conducting specific analyses, the system can effectively identify accidental falls and send timely notifications. A prototype floor composed of 28 tiles and a gateway receiver has been developed. Experiments to test the performance of individual tiles and field tests with the multi-tile floor demonstrate that the system can detect falls reliably.

Authors

Institutions

Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044119
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Powered and Self-Sensing Floor Tiles and Fall Detection System

Gongwei Wang, Junrui Liang
Water Quality Monitoring Technologies
article

Self-Powered and Self-Sensing Floor Tiles and Fall Detection System

Gongwei Wang, Junrui Liang
article en

Abstract

An increasing number of emerging Internet of Things (IoT) devices are transforming our daily lives in various fields, such as transportation, manufacturing, and home automation. The smart sensing floor offers solutions for tracking and analyzing user movements while maintaining acceptable privacy levels in both public and private spaces. Considering the large number of networked IoT devices on the ground, addressing power supply issues is crucial for efficient installation and convenient maintenance. This paper presents a self-powered and self-sensing smart floor design, with a particular application emphasis on fall detection. The design integrates energy harvesting and information collection, eliminating the reliance on traditional sensors. Each wireless floor tile serves as an integrated self-powered Bluetooth transmitter. It utilizes multiple piezoelectric patches for energy harvesting, a customized energy management circuit to accumulate the generated energy, and a low-power, low-cost system on chip (SoC) for wireless transmission. The signal packets from all tiles are collected and processed through an edge gateway to detect abnormal actions, like falls. A co-design of the piezoelectric array, power management, and transmission circuitry ensures that each step or fall can generate sufficient energy for three rounds of Bluetooth low-energy (BLE) beacon transmission. By receiving immediate data packets from all tiles and conducting specific analyses, the system can effectively identify accidental falls and send timely notifications. A prototype floor composed of 28 tiles and a gateway receiver has been developed. Experiments to test the performance of individual tiles and field tests with the multi-tile floor demonstrate that the system can detect falls reliably.

ShanghaiTech University (CN)
Sustainable cities and communities
Openalex Percentile: Top 85%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Self-Powered and Self-Sensing Floor Tiles and Fall Detection System — Gongwei Wang, Junrui Liang · (2025) | TGRS Research Map | TGRS