Evidence map›Paper›PMID 40732654›Full record

ArticleSensors (Basel, Switzerland)2025

Gait Analysis Using Walking-Generated Acceleration Obtained from Two Sensors Attached to the Lower Legs.

Ayuko Saito, Natsuki Sai, Kazutoshi Kurotaki, Akira Komatsu, Shinichiro Morichi, Satoru Kizawa

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ayuko SaitoDepartment of Mechanical Science and Engineering, Kogakuin University, 2665-1 Nakanomachi, Hachioji 192-0015, Tokyo, Japan.
Natsuki SaiGraduate School of Engineering, Kogakuin University, 2665-1 Nakanomachi, Hachioji 192-0015, Tokyo, Japan.
Kazutoshi KurotakiDepartment of Mechanical Science and Engineering, Kogakuin University, 2665-1 Nakanomachi, Hachioji 192-0015, Tokyo, Japan.
Akira KomatsuDepartment of General Engineering, National Institute of Technology (KOSEN), Sendai College, 48 Nodayama, Medeshima-Shiote, Natori-shi 981-1239, Miyagi, Japan.ORCID 0000-0002-3248-0059
Shinichiro MorichiDepartment of Pediatrics and Adolescent Medicine, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku 160-0023, Tokyo, Japan.ORCID 0000-0001-9790-9808
Satoru KizawaDepartment of Mechanical Engineering and Robotics, National Institute of Technology (KOSEN), Akita College, 1-1 Iijima-Bunkyo-cho, Akita 011-8511, Akita, Japan.

Funding

The Japan Society for the Promotion of Science under KAKENHI Grant JP 23K11984
6 · The paper itself

Abstract

Gait evaluation approaches using small, lightweight inertial sensors have recently been developed, offering improvements in terms of both portability and usability. However, accelerometer outputs include both the acceleration that is generated by human motion and gravitational acceleration, which changes along with the posture of the body part to which the sensor is attached. This study presents a gait analysis method that uses the gravitational, centrifugal, tangential, and translational accelerations obtained from sensors attached to the lower legs. In this method, each sensor pose is sequentially estimated using sensor fusion to combine data obtained from a three-axis gyroscope, a three-axis accelerometer, and a three-axis magnetometer. The estimated sensor pose is then used to calculate the gravitational acceleration that is included in each axis of the sensor coordinate system. The centrifugal and tangential accelerations are determined from the gyroscope output. The translational acceleration is then obtained by subtracting the centrifugal, tangential, and gravitational accelerations from the accelerometer output. As a result, the acceleration components contained in the outputs of the accelerometers attached to the lower legs are provided. As only the acceleration components caused by walking motion are captured, thus reflecting their characteristics, it is expected that the developed method can be used for gait evaluation.

Indexed as

AccelerometryGaitGait AnalysisLegWalkingAccelerationBiomechanical PhenomenaGravitationHumanscentrifugal accelerationgait analysisgravitational accelerationlower legsensor fusiontangential accelerationtranslational acceleration

Identifiers

PMID40732654
PMCPMC12298931

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.