Evidence map›Paper›PMID 42782651›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Design and Performance Evaluation of Unpowered Hip-Assisted Exoskeletons.

Xinyao Tang, Xupeng Wang, Xinying Xue, Hongyan Liu, Mengyuan Pu

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. 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

5 authors.

Xinyao TangResearch Center for Civil-Military Integration and Protection Equipment Design Innovation, Xi'an University of Technology, Xi'an 710054, China.
Xupeng WangResearch Center for Civil-Military Integration and Protection Equipment Design Innovation, Xi'an University of Technology, Xi'an 710054, China.ORCID 0000-0001-7380-7399
Xinying XueDigital Intelligence Innovation Design Department, Xi'an University of Technology, Xi'an 710054, China.
Hongyan LiuDigital Intelligence Innovation Design Department, Xi'an University of Technology, Xi'an 710054, China.
Mengyuan PuDigital Intelligence Innovation Design Department, Xi'an University of Technology, Xi'an 710054, China.

Funding

Common technology and field fund for equipment pre research 106-418321001Ministry of education Youth Fund Project 21XJC760003Natural Science Basic Research Plan inShaanxi Province of China 2025JC-YBQN-696Outstanding Talents Support Program Project 106-451420001
6 · The paper itself

Abstract

Human augmentation is an important branch of robotics research aimed at reducing metabolic energy consumption, delaying fatigue, and increasing body speed. However, existing evaluation protocols lack systematic frameworks for unpowered hip devices. This study aims to reduce the energy consumption of human movement without providing additional power and to develop a hip-assisted exoskeleton device. Through gait, plantar pressure, and electromyography tests, the system studied the assistance performance of exoskeletons in three wearing states: "No exo.", "Exo. on", and "Exo. off". A comprehensive evaluation method of unpowered lower limb wearable exoskeleton (CE-ULLWE) is established, featuring the novel three-condition design that isolates the structural mass effect from true assistance via the "Exo. off" condition, and integrates multi-indicator metrics including kinematics, dynamics, plantar pressure, EMG, and metabolic simulations. Combining wearing and exercise testing to obtain the human-machine compatibility of exoskeletons and the subjective comfort of users when wearing exoskeletons. Experimental results demonstrate that wearing the exoskeleton increases peak hip and knee angular velocities by 18.5% and 9.0%, reduces joint power, decreases plantar pressure center excursion by 32.3%, and lowers total metabolic energy consumption by 16.0%, confirming its effectiveness in reducing metabolic cost and delaying fatigue. This achievement has important theoretical guidance and practical application value for the design, function, and performance evaluation of wearable assistive exoskeleton products. The proposed CE-ULLWE offers a replicable, multi-indicator framework that clarifies assistive efficacy and guides future exoskeleton optimization.

Indexed as

comprehensive evaluation methodelectromyographygait analysiship assistancemetabolic energy consumptionunpowered exoskeleton

Identifiers

PMID42782651
PMCPMC13604287

What OpenQuestion holds

Textmetadata
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.