Autors: Ivanov, K., Mei, ZY., Lubich, L. V., Guo, N., Xile, D., Zhao, Z., Omisore, OM., Ho, D., Wang, L. Title: Design of a Sensor Insole for Gait Analysis Keywords: Smart insole; Channel multiplexing; GaitPy; Person recognition; Gait analysis References Issue
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Цитирания (Citation/s):
1. de Fazio, R.; Perrone, E.; Velázquez, R.; De Vittorio, M.; Visconti, P. Development of a Self-Powered Piezo-Resistive Smart Insole Equipped with Low-Power BLE Connectivity for Remote Gait Monitoring. Sensors 2021, 21, 4539. https://doi.org/10.3390/s21134539 - 2021 - в издания, индексирани в Scopus или Web of Science
2. Faragó, P.; Grama, L.; Farago, M.-A.; Hintea, S. A Novel Wearable Foot and Ankle Monitoring System for the Assessment of Gait Biomechanics. Appl. Sci. 2021, 11, 268. https://doi.org/10.3390/app11010268 - 2021 - в издания, индексирани в Scopus или Web of Science
3. Mads Stege, Charalampos Orfanidis, and Xenofon Fafoutis. "Plantar Biometrics for Edge Computing", Proceedings of the 2022 Workshop on Body-centric Computing Systems (BodySys '22). Association for Computing Machinery, New York, NY, USA, 13–18. https://doi.org/10.1145/3539489.3539589 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: публикация в международен форум, индексирана в Scopus