Stride segmentation represents important but challenging part of the gait analysis. Different methods and sensor systems have been proposed for detection of markers for segmentation of gait sequences. This task is often performed with wearable sensors comprising force sensors and/or inertial sensors. In this paper, we have compared four different methods for stride segmentation based on signals collected from force sensing resistors, accelerometers and gyro sensors. The results were evaluated on 15 healthy and 15 patients with Parkinson's disease, and expressed in terms of number of imprecisely, missed or wrongly detected gait events, as well as temporal absolute error. It was established that the methods using the inertial data, provide results with up to 12% higher error rate comparing to detection from force sensing resistors.
Izvor:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S, 2018, 2018-July, 2284-2287
TY - CONF
AU - Bobić, Vladislava
AU - Đurić-Jovičić, Milica
AU - Radovanović, Saša M.
AU - Dragašević, Nataša T.
AU - Kostić, Vladimir S.
AU - Popović, Mirjana B.
PY - 2018
UR - http://rimi.imi.bg.ac.rs/handle/123456789/880
AB - Stride segmentation represents important but challenging part of the gait analysis. Different methods and sensor systems have been proposed for detection of markers for segmentation of gait sequences. This task is often performed with wearable sensors comprising force sensors and/or inertial sensors. In this paper, we have compared four different methods for stride segmentation based on signals collected from force sensing resistors, accelerometers and gyro sensors. The results were evaluated on 15 healthy and 15 patients with Parkinson's disease, and expressed in terms of number of imprecisely, missed or wrongly detected gait events, as well as temporal absolute error. It was established that the methods using the inertial data, provide results with up to 12% higher error rate comparing to detection from force sensing resistors.
C3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S
T1 - Challenges of Stride Segmentation and Their Implementation for Impaired Gait
EP - 2287
SP - 2284
VL - 2018-July
DO - 10.1109/EMBC.2018.8512836
ER -
@conference{
author = "Bobić, Vladislava and Đurić-Jovičić, Milica and Radovanović, Saša M. and Dragašević, Nataša T. and Kostić, Vladimir S. and Popović, Mirjana B.",
year = "2018",
abstract = "Stride segmentation represents important but challenging part of the gait analysis. Different methods and sensor systems have been proposed for detection of markers for segmentation of gait sequences. This task is often performed with wearable sensors comprising force sensors and/or inertial sensors. In this paper, we have compared four different methods for stride segmentation based on signals collected from force sensing resistors, accelerometers and gyro sensors. The results were evaluated on 15 healthy and 15 patients with Parkinson's disease, and expressed in terms of number of imprecisely, missed or wrongly detected gait events, as well as temporal absolute error. It was established that the methods using the inertial data, provide results with up to 12% higher error rate comparing to detection from force sensing resistors.",
journal = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S",
title = "Challenges of Stride Segmentation and Their Implementation for Impaired Gait",
pages = "2287-2284",
volume = "2018-July",
doi = "10.1109/EMBC.2018.8512836"
}
Bobić, V., Đurić-Jovičić, M., Radovanović, S. M., Dragašević, N. T., Kostić, V. S.,& Popović, M. B.. (2018). Challenges of Stride Segmentation and Their Implementation for Impaired Gait. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S, 2018-July, 2284-2287.
https://doi.org/10.1109/EMBC.2018.8512836
Bobić V, Đurić-Jovičić M, Radovanović SM, Dragašević NT, Kostić VS, Popović MB. Challenges of Stride Segmentation and Their Implementation for Impaired Gait. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S. 2018;2018-July:2284-2287.
doi:10.1109/EMBC.2018.8512836 .
Bobić, Vladislava, Đurić-Jovičić, Milica, Radovanović, Saša M., Dragašević, Nataša T., Kostić, Vladimir S., Popović, Mirjana B., "Challenges of Stride Segmentation and Their Implementation for Impaired Gait" in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine & Biology S, 2018-July (2018):2284-2287,
https://doi.org/10.1109/EMBC.2018.8512836 . .
