Control strategies for trunk exoskeletons based on motion intent recognition: A review.
NeuroRehabilitation
; 54(4): 575-597, 2024.
Article
en En
| MEDLINE
| ID: mdl-38943405
ABSTRACT
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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Intención
/
Torso
/
Dispositivo Exoesqueleto
Límite:
Humans
Idioma:
En
Revista:
NeuroRehabilitation
Asunto de la revista:
NEUROLOGIA
/
REABILITACAO
Año:
2024
Tipo del documento:
Article
País de afiliación:
China