Evidence map›Paper›PMID 31614811›Full record

ArticleSensors (Basel, Switzerland)2019

Terrain Feature Estimation Method for a Lower Limb Exoskeleton Using Kinematic Analysis and Center of Pressure.

Myounghoon Shim, Jong In Han, Ho Seon Choi, Seong Min Ha, Jung-Hoon Kim, Yoon Su Baek

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Myounghoon ShimMotion Control Laboratory, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. smh2119@yonsei.ac.kr.ORCID 0000-0003-1383-6029
Jong In HanMotion Control Laboratory, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. gmiilp1318@yonsei.ac.kr.ORCID 0000-0002-0343-933X
Ho Seon ChoiMotion Control Laboratory, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. eggr@yonsei.ac.kr.
Seong Min HaMotion Control Laboratory, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. choosesay@yonsei.ac.kr.
Jung-Hoon KimConstruction Robot and Automation Laboratory, Department of Civil & Environmental Engineering, Yonsei University, Seoul 03722, Korea. junghoon@yonsei.ac.kr.ORCID 0000-0003-0471-6092
Yoon Su BaekMotion Control Laboratory, Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea. ysbaek@yonsei.ac.kr.
Yonsei University · KR

Funding

National Research Foundation of Korea NRF-2013R1A2A2A01069067National Research Foundation of Korea NRF-2017M1A3A3A02016507
6 · The paper itself

Abstract

While controlling a lower limb exoskeleton providing walking assistance to wearers, the walking terrain is an important factor that should be considered for meeting performance and safety requirements. Therefore, we developed a method to estimate the slope and elevation using the contact points between the limb exoskeleton and ground. We used the center of pressure as a contact point on the ground and calculated the location of the contact points on the walking terrain based on kinematic analysis of the exoskeleton. Then, a set of contact points collected from each step during walking was modeled as the plane that represents the surface of the walking terrain through the least-square method. Finally, by comparing the normal vectors of the modeled planes for each step, features of the walking terrain were estimated. We analyzed the estimation accuracy of the proposed method through experiments on level ground, stairs, and a ramp. Classification using the estimated features showed recognition accuracy higher than 95% for all experimental motions. The proposed method approximately analyzed the movement of the exoskeleton on various terrains even though no prior information on the walking terrain was provided. The method can enable exoskeleton systems to actively assist walking in various environments.

Indexed as

Exoskeleton DevicePressureBiomechanical PhenomenaCalibrationFootHumansJointsLower ExtremityModels, TheoreticalRange of Motion, ArticularWalkingcenter of pressurekinematic analysislower limb exoskeletonterrain classificationterrain estimationwalking terrain

Identifiers

PMID31614811
PMCPMC6832667
OpenAlexW2979698599

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.