Control strategies for trunk exoskeletons based on motion intent recognition: A review.
BACKGROUND: Wearable trunk exoskeletons hold immense potential in fields such as healthcare and industry. Previous research has indicated that intention recognition control plays a crucial role in users' daily use of exoskeletons. OBJECTIVE: This review aims to discuss the characteristics of intenti...
| Publicado en: | NeuroRehabilitation Vol. 54; no. 4; pp. 575 - 598 |
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| Autores principales: | , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=178180664&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 178180664 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: 2024 vid: 54 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 178180664 178180664 178180664 10.3233/NRE-240066 178180664 ppf: 575 ppct: 23 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Control strategies for trunk exoskeletons based on motion intent recognition: A review. aug: au: Yuan, Ruyu Wang, Qingqing Xu, Haipeng Yu, Hongliu Shi, Ping affil: Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai, China sug: subj: Exoskeleton Devices Torso Movement Muscle, Skeletal Physiology Intention Human Systematic Review PubMed Posture Task Performance and Analysis Rehabilitation Quality of Life Quality Assessment Descriptive Statistics Funding Source ab: BACKGROUND: Wearable trunk exoskeletons hold immense potential in fields such as healthcare and industry. Previous research has indicated that intention recognition control plays a crucial role in users' daily use of exoskeletons. OBJECTIVE: This review aims to discuss the characteristics of intention recognition control schemes for intelligent trunk exoskeletons under different control objectives over the past decade. METHODS: Considering the relatively late development of active trunk exoskeletons, we selected papers published in the last decade (2013 to 2023) from the Web of Science, PubMed, and IEEE Xplore databases. In total, 50 articles were selected and examined based on four control objectives. RESULTS: In general, we found that researchers focus on trunk exoskeleton devices designed for assistance and motor augmentation, which rely more on body movement signals as a source for intention recognition. CONCLUSION: Based on these results, we identify and discuss several promising research directions that may help to attain a widely accepted control methods, thereby advancing further development of trunk exoskeleton technology. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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