Article: Footstep localization and force estimation through structural vibrations using the FEEL Algorithm.
Measurement : journal of the International Measurement Confederation
2022 Volume 197
Abstract: Locating individuals within a space has numerous potential uses within a smart environment. Many different technologies have been explored towards this end though privacy-concerns, the need to wear a device, and/or extensive building modifications have ... ...
| Abstract | Locating individuals within a space has numerous potential uses within a smart environment. Many different technologies have been explored towards this end though privacy-concerns, the need to wear a device, and/or extensive building modifications have presented challenges towards adoption. Structural vibrations caused by footsteps have been shown to overcome these challenges though current methods rely on time-of-flight variations. This paper presents the use of the Force Estimation and Event Localization (FEEL) Algorithm that utilizes lower sampling rates, less sensors, etc than time-of-flight methods towards locating persons. Improvements to FEEL's force estimation and SDFE localization method are additionally presented with demonstrated increases in accuracy. Analysis of 1100 footsteps resulted in 98.6% localization accuracy using the improved FEEL. Ground force reactions (GRF) were estimated by FEEL and used to estimate participant body-weight-ratios (BWR). Estimated BWRs were within ranges reported in previous works for both barefoot and shoe cases. |
|---|---|
| Language | English |
| Publishing date | 2022-04-26 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 2000550-7 |
| ISSN | 0263-2241 |
| ISSN | 0263-2241 |
| DOI | 10.1016/j.measurement.2022.111247 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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