Stride length estimation through the use of a single inertial sensor and the application of a method based on the detection of stability intervals

The use of Inertial Measurement Units has come up as a promising technique for estimating stride length during human gait. This research presents a new analytical approach to estimate this parameter. The estimation procedure is based on the identification and use of stability intervals before and after the swing phase of the sensor-mounted foot. The algorithm proposes to attach the inertial sensor at the forefoot of the foot. A database was built in order to validate the algorithm. The algorithm was including the data to the analysis in a gradual form in order to gain insight about the sufficiency of the data used. Several metrics were computed and the results revealed that the proposed algorithm exhibits a performance that outperforms the majority of the results reported by other studies so far.

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Publication Details

Journal
Dialnet (Universidad de la Rioja)
Published
2026-01-01
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
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article

Stride length estimation through the use of a single inertial sensor and the application of a method based on the detection of stability intervals

Brenda Guitard, René Corvo, Fidel Ernesto Hernández Montero, Jon Altuna Iraola et al.
Dialnet (Universidad de la Rioja)
Balance, Gait, and Falls Prevention
article

Stride length estimation through the use of a single inertial sensor and the application of a method based on the detection of stability intervals

Brenda Guitard, René Corvo, Fidel Ernesto Hernández Montero, Jon Altuna Iraola, Melissa Domínguez
article en

Abstract

The use of Inertial Measurement Units has come up as a promising technique for estimating stride length during human gait. This research presents a new analytical approach to estimate this parameter. The estimation procedure is based on the identification and use of stability intervals before and after the swing phase of the sensor-mounted foot. The algorithm proposes to attach the inertial sensor at the forefoot of the foot. A database was built in order to validate the algorithm. The algorithm was including the data to the analysis in a gradual form in order to gain insight about the sufficiency of the data used. Several metrics were computed and the results revealed that the proposed algorithm exhibits a performance that outperforms the majority of the results reported by other studies so far.

Dialnet (Universidad de la Rioja)
Openalex Percentile: Top 1%
Balance, Gait, and Falls Prevention
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