Fully-wireless sensor insole as non-invasive tool for collecting gait data and analyzing fall risk

Guillermo Talavera, Joan Garcia, John Rösevall, Cristina Rusu, Carlos Carenas, Fanny Breuil, Elisenda Reixach, Holger Arndt, Stefan Burkard, Richie Harte, Liam Glynn, Jordi Carrabina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the final results and future projection of the European project WIISEL (Wireless Insole for Independent and Safe Elderly Living), that reached to build the first full-wireless insole (that include both wireless communication and wireless charging). These insoles provide a new set of non-invasive tools that can be used either at the clinical installations or at home. That solution improves the usability and user experience compared with traditional tools (smart carpets, wired insoles, etc.) that are oriented to clinical installations. And hence, provide a powerful tool for Ambient Intelligent for Health, especially for elderly people, increasing their autonomy and providing means for long term monitoring. Health parameters analysed are fall risk and gait analysis. Both are assessed on the establishment of clinical parameters such as fall risk index, and gait pattern and fall detection and algorithms. All those can be obtained thanks to our fully-wireless flexible insole that contains the sensors, embedded processing and wireless communications and charging. Pressure and inertial sensors are embedded into the insoles and a smartphone collects data utilizing Bluetooth Low Energy that is later sent to a main server analysis for its management, analysis and storage. This provides the selected information to the corresponding platform users being either end-users/patients, their relatives or caregivers and the related clinicians.

Original languageEnglish
Title of host publicationAmbient Intelligence for Health - 1st International Conference, AmIHEALTH 2015, Proceedings
EditorsVladimir Villarreal, José Bravo, Ramón Hervás
PublisherSpringer Verlag
Pages15-25
Number of pages11
ISBN (Print)9783319265070
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event1st International Conference on Ambient Intelligence for Health, AmIHEALTH 2015 - Puerto Varas, Chile
Duration: 1 Dec 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9456
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Ambient Intelligence for Health, AmIHEALTH 2015
Country/TerritoryChile
CityPuerto Varas
Period1/12/154/12/15

Keywords

  • Bluetooth low energy
  • Fall risk
  • Fall risk index (FRI)
  • Gait analysis
  • Qi wireless charging
  • Sensors
  • Software tools for gait analysis
  • Wireless insole

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