TY - GEN
T1 - Average Walking Speed Estimation with an Inertial Sensor in 10-m Walk Test
T2 - 8th European Medical and Biological Engineering Conference, EMBEC 2020
AU - Watanabe, Takashi
N1 - Funding Information:
Acknowledgment. The author thanks to Mr. T. Miyazawa for his help in measurement of walking with healthy subjects. This study was supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan under a Grant-in-Aid for challenging Exploratory Research.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Information obtained from an inertial sensor attached on the foot would be useful in gait rehabilitation, healthcare and so on, because it provide various evaluation parameters such as stride length, inclination angle and gait event timings. The purpose of this study was to develop an estimation method of average walking speed with the inertial sensor attached on the foot. In this paper, average walking speed was estimated by estimated stride length and time of movement state of each stride during walking. The proposed estimation method of average waking speed was evaluated in comparing to measured walking speed with a stopwatch in 10 m walking test with healthy subjects. Mean difference of walking speeds between measured and estimated walking speeds was −0.60 ± 4.04% (−0.007 ± 0.048 m/s), and mean absolute value of the difference was 3.05 ± 2.71% (0.035 ± 0.033 m/s). Correlation coefficient between them was 0.986. Most of average walking speed were estimated with good accuracy, which were almost between ±10% and between ±0.1 m/s. These results suggested that the average walking speed estimation with an inertial sensor would be useful. In order to improve estimation accuracy for a specific subject and fast speed walking, in which stationary state between strides is very short time, is expected.
AB - Information obtained from an inertial sensor attached on the foot would be useful in gait rehabilitation, healthcare and so on, because it provide various evaluation parameters such as stride length, inclination angle and gait event timings. The purpose of this study was to develop an estimation method of average walking speed with the inertial sensor attached on the foot. In this paper, average walking speed was estimated by estimated stride length and time of movement state of each stride during walking. The proposed estimation method of average waking speed was evaluated in comparing to measured walking speed with a stopwatch in 10 m walking test with healthy subjects. Mean difference of walking speeds between measured and estimated walking speeds was −0.60 ± 4.04% (−0.007 ± 0.048 m/s), and mean absolute value of the difference was 3.05 ± 2.71% (0.035 ± 0.033 m/s). Correlation coefficient between them was 0.986. Most of average walking speed were estimated with good accuracy, which were almost between ±10% and between ±0.1 m/s. These results suggested that the average walking speed estimation with an inertial sensor would be useful. In order to improve estimation accuracy for a specific subject and fast speed walking, in which stationary state between strides is very short time, is expected.
KW - Foot
KW - Gait
KW - Inertial sensor
KW - Walking speed
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U2 - 10.1007/978-3-030-64610-3_20
DO - 10.1007/978-3-030-64610-3_20
M3 - Conference contribution
AN - SCOPUS:85097630631
SN - 9783030646097
T3 - IFMBE Proceedings
SP - 169
EP - 177
BT - 8th European Medical and Biological Engineering Conference - Proceedings of the EMBEC 2020
A2 - Jarm, Tomaz
A2 - Cvetkoska, Aleksandra
A2 - Mahnič-Kalamiza, Samo
A2 - Miklavcic, Damijan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 November 2020 through 3 December 2020
ER -