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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=133222"><dc:title>Pressure-sensitive insoles for real-time gait-related applications</dc:title><dc:creator>Martini,	Elena	(Avtor)
	</dc:creator><dc:creator>Fiumalbi,	Tommaso	(Avtor)
	</dc:creator><dc:creator>Dell'Agnello,	Filippo	(Avtor)
	</dc:creator><dc:creator>Ivanić,	Zoran	(Avtor)
	</dc:creator><dc:creator>Munih,	Marko	(Avtor)
	</dc:creator><dc:creator>Vitiello,	Nicola	(Avtor)
	</dc:creator><dc:creator>Crea,	Simona	(Avtor)
	</dc:creator><dc:subject>optoelectronic sensors</dc:subject><dc:subject>wearable sensors</dc:subject><dc:subject>sensorized insole</dc:subject><dc:subject>plantar pressure distribution</dc:subject><dc:subject>real-time gait monitoring</dc:subject><dc:subject>robot control</dc:subject><dc:description>Wearable robotic devices require sensors and algorithms that can recognize the user state in real-time, in order to provide synergistic action with the body. For devices intended for locomotion-related applications, shoe-embedded sensors are a common and convenient choice, potentially advantageous for performing gait assessment in real-world environments. In this work, we present the development of a pair of pressure-sensitive insoles based on optoelectronic sensors for the real-time estimation of temporal gait parameters. The new design makes use of a simplified sensor configuration that preserves the time accuracy of gait event detection relative to previous prototypes. The system has been assessed relatively to a commercial force plate recording the vertical component of the ground reaction force (vGRF) and the coordinate of the center of pressure along the so-called progression or antero-posterior plane (CoP$_{AP}$) in ten healthy participants during ground-level walking at two speeds. The insoles showed overall median absolute errors (MAE) of 0.06 (0.02) s and 0.04 (0.02) s for heel-strike and toe-off recognition, respectively. Moreover, they enabled reasonably accurate estimations of the stance phase duration (2.02 (2.03) % error) and CoP$_{AP}$ profiles (Pearson correlation coefficient with force platform ρCoP = 0.96 (0.02)), whereas the correlation with vGRF measured by the force plate was lower than that obtained with the previous prototype ($_{ρv}$GRF = 0.47 (0.20)). These results confirm the suitability of the insoles for online sensing purposes such as timely gait phase estimation and discrete event recognition.</dc:description><dc:date>2020</dc:date><dc:date>2021-11-17 14:57:21</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>133222</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
