TY - GEN
T1 - Fully-wireless sensor insole as non-invasive tool for collecting gait data and analyzing fall risk
AU - Talavera, Guillermo
AU - Garcia, Joan
AU - Rösevall, John
AU - Rusu, Cristina
AU - Carenas, Carlos
AU - Breuil, Fanny
AU - Reixach, Elisenda
AU - Arndt, Holger
AU - Burkard, Stefan
AU - Harte, Richie
AU - Glynn, Liam
AU - Carrabina, Jordi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Bluetooth low energy
KW - Fall risk
KW - Fall risk index (FRI)
KW - Gait analysis
KW - Qi wireless charging
KW - Sensors
KW - Software tools for gait analysis
KW - Wireless insole
UR - http://www.scopus.com/inward/record.url?scp=84954149821&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26508-7_2
DO - 10.1007/978-3-319-26508-7_2
M3 - Conference contribution
AN - SCOPUS:84954149821
SN - 9783319265070
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 15
EP - 25
BT - Ambient Intelligence for Health - 1st International Conference, AmIHEALTH 2015, Proceedings
A2 - Villarreal, Vladimir
A2 - Bravo, José
A2 - Hervás, Ramón
PB - Springer Verlag
T2 - 1st International Conference on Ambient Intelligence for Health, AmIHEALTH 2015
Y2 - 1 December 2015 through 4 December 2015
ER -