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

    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT III, 2019, China, Springer, DOI:10.1007/978-3-030-27538-9_37

    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