Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, Axel Gräser: Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis. In: 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP). Oktober 2016, S.93–98, doi:10.1109/ICFSP.2016.7802963 (ieee.org [abgerufen am 18. Juli 2020]).
Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band66, 1. Oktober 2018, ISSN0966-6362, S.76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).
Jung-Ah Lee, Sang-Hyun Cho, Young-Jae Lee, Heui-Kyung Yang, Jeong-Whan Lee: Portable Activity Monitoring System for Temporal Parameters of Gait Cycles. In: Journal of Medical Systems. Band34, Nr.5, 1. Oktober 2010, ISSN1573-689X, S.959–966, doi:10.1007/s10916-009-9311-8.
Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, Samuel Schülein, Heiko Gassner: Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. In: Sensors. Band15, Nr.3, 2015, S.6419–6440, doi:10.3390/s150306419 (mdpi.com [abgerufen am 18. Juli 2020]).
Sebastijan Šprager, Matjaž B. Jurič: Robust Stride Segmentation of Inertial Signals Based on Local Cyclicity Estimation. In: Sensors. Band18, Nr.4, 2018, S.1091, doi:10.3390/s18041091 (mdpi.com [abgerufen am 18. Juli 2020]).
Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gaßner, Meinard Müller: Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. In: Sensors. Band18, Nr.1, 2018, S.145, doi:10.3390/s18010145 (mdpi.com [abgerufen am 18. Juli 2020]).
Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken: Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. In: Sensors. Band17, Nr.9, 2017, S.1940, doi:10.3390/s17091940 (mdpi.com [abgerufen am 18. Juli 2020]).
ieee.org
ieeexplore.ieee.org
Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, Axel Gräser: Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis. In: 2016 2nd International Conference on Frontiers of Signal Processing (ICFSP). Oktober 2016, S.93–98, doi:10.1109/ICFSP.2016.7802963 (ieee.org [abgerufen am 18. Juli 2020]).
mdpi.com
Jens Barth, Cäcilia Oberndorfer, Cristian Pasluosta, Samuel Schülein, Heiko Gassner: Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. In: Sensors. Band15, Nr.3, 2015, S.6419–6440, doi:10.3390/s150306419 (mdpi.com [abgerufen am 18. Juli 2020]).
Sebastijan Šprager, Matjaž B. Jurič: Robust Stride Segmentation of Inertial Signals Based on Local Cyclicity Estimation. In: Sensors. Band18, Nr.4, 2018, S.1091, doi:10.3390/s18041091 (mdpi.com [abgerufen am 18. Juli 2020]).
Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gaßner, Meinard Müller: Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. In: Sensors. Band18, Nr.1, 2018, S.145, doi:10.3390/s18010145 (mdpi.com [abgerufen am 18. Juli 2020]).
Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken: Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. In: Sensors. Band17, Nr.9, 2017, S.1940, doi:10.3390/s17091940 (mdpi.com [abgerufen am 18. Juli 2020]).
Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band66, 1. Oktober 2018, ISSN0966-6362, S.76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).
zdb-katalog.de
Giulia Pacini Panebianco, Maria Cristina Bisi, Rita Stagni, Silvia Fantozzi: Analysis of the performance of 17 algorithms from a systematic review: Influence of sensor position, analysed variable and computational approach in gait timing estimation from IMU measurements. In: Gait & Posture. Band66, 1. Oktober 2018, ISSN0966-6362, S.76–82, doi:10.1016/j.gaitpost.2018.08.025 (sciencedirect.com [abgerufen am 18. Juli 2020]).
Jung-Ah Lee, Sang-Hyun Cho, Young-Jae Lee, Heui-Kyung Yang, Jeong-Whan Lee: Portable Activity Monitoring System for Temporal Parameters of Gait Cycles. In: Journal of Medical Systems. Band34, Nr.5, 1. Oktober 2010, ISSN1573-689X, S.959–966, doi:10.1007/s10916-009-9311-8.