An Index System and Quantitative Evaluation Method for Exoskeleton Efficacy Assessment Based on Multi-Source Signal Fusion

(1) Background: Exoskeleton systems are being used increasingly in medical rehabilitation and industrial assistance. Accurate evaluation of their performance is crucial for optimising design and improving performance. In this paper, we propose a performance evaluation index system for exoskeletons and a quantitative evaluation method based on multi-source signal fusion. (2) Methods: The system utilises a variety of sensors for signal collection, encompassing sEMG and MMG, which are indicative of muscular fatigue, along with IMU signals, which demonstrate the movement of both the exoskeleton and the human body. This is then combined with the subjective evaluation scale to constitute the exoskeleton effectiveness assessment index system. (3) Results: This study evaluates two types of material handling exoskeletons. The findings indicate that the ultimate scores for the single-hip and hip-knee exoskeletons are 0.625 and 0.845, respectively. (4) Conclusions: A comparison of the indexes of the two exoskeletons and the subjective evaluations of the testers reveals that this method effectively quantifies the exoskeleton’s human metabolism, human–machine synergy and performance in working conditions, as well as the perceived effectiveness of assistance in different working conditions.

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Publication Details

Journal
Applied Sciences
Published
2026-02-04
DOI
https://doi.org/10.3390/app16031573
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00

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article

An Index System and Quantitative Evaluation Method for Exoskeleton Efficacy Assessment Based on Multi-Source Signal Fusion

Dingzhe Li, ChangLong Jiang, Yu Bai, Xiaorong Guan et al.
Applied Sciences
Prosthetics and Rehabilitation Robotics
article

An Index System and Quantitative Evaluation Method for Exoskeleton Efficacy Assessment Based on Multi-Source Signal Fusion

Dingzhe Li, ChangLong Jiang, Yu Bai, Xiaorong Guan, Zheng Wang, Youyuan Liu
article en

Abstract

(1) Background: Exoskeleton systems are being used increasingly in medical rehabilitation and industrial assistance. Accurate evaluation of their performance is crucial for optimising design and improving performance. In this paper, we propose a performance evaluation index system for exoskeletons and a quantitative evaluation method based on multi-source signal fusion. (2) Methods: The system utilises a variety of sensors for signal collection, encompassing sEMG and MMG, which are indicative of muscular fatigue, along with IMU signals, which demonstrate the movement of both the exoskeleton and the human body. This is then combined with the subjective evaluation scale to constitute the exoskeleton effectiveness assessment index system. (3) Results: This study evaluates two types of material handling exoskeletons. The findings indicate that the ultimate scores for the single-hip and hip-knee exoskeletons are 0.625 and 0.845, respectively. (4) Conclusions: A comparison of the indexes of the two exoskeletons and the subjective evaluations of the testers reveals that this method effectively quantifies the exoskeleton’s human metabolism, human–machine synergy and performance in working conditions, as well as the perceived effectiveness of assistance in different working conditions.

Applied SciencesVol. 16(3)
Nanjing University of Science and Technology (CN), Hangzhou Special Equipment Inspection and Research Institute (CN)
Nanjing University of Science and Technology, Nanjing University
Openalex Percentile: Top 67%
Prosthetics and Rehabilitation Robotics
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