Development of a light wearable exoskeleton for upper extremity augmentation

Liu, Chang; Zhu, Chi; Liang, Hongyu; Yoshioka, Masataka; Murata, Yoshitaka; Yu, Yongchuan

doi:10.1109/m2vip.2016.7827318

Cited by 16 publications

(10 citation statements)

References 18 publications

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“…With this method, the motion modes of the FEA were seamlessly switched by the values of

and

[ 35 ], which are generated from the power spectral density (PSD) of EEG signals described as follows.

where

, and

, are PSD of EEG signals, proportionality coefficient, the EEG signals to compensate for the gravity of the subject’s arm, decrease proportionality coefficient, maximum EEG value in flexion, and the joint angle, respectively.…”

Section: Methodsmentioning

confidence: 99%

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

Liang

Maedono

et al. 2021

Entropy

Self Cite

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Electroencephalography neurofeedback (EEG-NFB) training can induce changes in the power of targeted EEG bands. The objective of this study is to enhance and evaluate the specific changes of EEG power spectral density that the brain-machine interface (BMI) users can reliably generate for power augmentation through EEG-NFB training. First, we constructed an EEG-NFB training system for power augmentation. Then, three subjects were assigned to three NFB training stages, based on a 6-day consecutive training session as one stage. The subjects received real-time feedback from their EEG signals by a robotic arm while conducting flexion and extension movement with their elbow and shoulder joints, respectively. EEG signals were compared with each NFB training stage. The training results showed that EEG beta (12–40 Hz) power increased after the NFB training for both the elbow and the shoulder joints’ movements. EEG beta power showed sustained improvements during the 3-stage training, which revealed that even the short-term training could improve EEG signals significantly. Moreover, the training effect of the shoulder joints was more obvious than that of the elbow joints. These results suggest that NFB training can improve EEG signals and clarify the specific EEG changes during the movement. Our results may even provide insights into how the neural effects of NFB can be better applied to the BMI power augmentation system and improve the performance of healthy individuals.

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“…With this method, the motion modes of the FEA were seamlessly switched by the values of

and

[ 35 ], which are generated from the power spectral density (PSD) of EEG signals described as follows.

where

, and

Section: Methodsmentioning

confidence: 99%

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

Liang

Maedono

et al. 2021

Entropy

Self Cite

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“…Liu et al [83] developed a portable exoskeleton for training the muscles of a person's upper limbs. The device used EMG (electromyography) electrodes and by reading the muscle signals could predict the movement the user wanted to make.…”

Section: Human Body Kinematicsmentioning

confidence: 99%

A Review on Wearable Product Design and Applications

Minaoglou,

Efkolidis,

Manavis

et al. 2024

Machines

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In recent years, the rapid advancement of technology has caused an increase in the development of wearable products. These are portable devices that can be worn by people. The main goal of these products is to improve the quality of life as they focus on the safety, assistance and entertainment of their users. The introduction of many new technologies has allowed these products to evolve into many different fields with multiple uses. The way in which the design of wearable products/devices is approached requires the study and recording of multiple factors so that the final device is functional and efficient for its user. The current research presents an in-depth overview of research studies dealing with the development, design and manufacturing of wearable products/devices and applications/systems in general. More specifically, in this review, a comprehensive classification of wearable products/devices in various sectors and applications was carried out, resulting in the creation of eight different categories. A total of 161 studies from the last 13 years were analyzed and commented on. The findings of this review show that the use of new technologies such as 3D scanning and 3D printing are essential tools for the development of wearable products. In addition, many studies observed the use of various sensors through which multiple signals and data could be recorded. Finally, through the eight categories that the research studies were divided into, two main conclusions emerged. The first conclusion is that 3D printing is a method that was used the most in research. The second conclusion is that most research directions concern the safety of users by using sensors and recording anthropometric dimensions.

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“…Sui et al developed a four active-DoF exoskeleton with a weight of 4.2kg (Mechanical part) by the gravity balance design, in which the capstan of the cable plays the role of a secondary speed reducer [44]. Liu et al employed synchronous belts cascaded harmonic reducer to achieve a total reduction ratio of 300 and a total weight of 5.1 Kg (mechanical part) in the dual-arm 4-DoF exoskeleton [45]. In contrast, we neither sacrificed the power of the motor nor adopted an excessively high reduction ratio, to ensure the power and speed performance of the exoskeleton.…”

Section: B Comparison To Existing Prototypesmentioning

confidence: 99%

A Bamboo-Inspired Exoskeleton (BiEXO) Based on Carbon Fiber for Shoulder and Elbow Joints

Zahedi

Wang

Lau

et al. 2023

IEEE Trans. Med. Robot. Bionics

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This paper presents a novel cable-driven exoskeleton (BiEXO) for the upper limb including shoulder and elbow joints. BiEXO is made of carbon fiber that is inspired by the Bamboo structure. The key components of BiEXO are carbon fiber tubes that mimic bamboo tubes. A combined driver is developed for BiEXO with two cable-driven mechanisms (CDMs) and a power transmission belt (PTB). The CDMs are used for shoulder and elbow flexion/extension movement utilizing cables to mimic the skeletal muscle's function, while the PTB system drives a shoulder link to mimic the scapula joint for shoulder abduction/adduction movement. Simulation studies and evaluation experiments were performed to demonstrate the efficacy of the overall system. To determine the strength-to-weight of the bamboo-inspired links and guarantee high buckling strength in the face of loads imposed from the user side to the structure, finite element analysis (FEA) was performed. The results show that the carbon fiber link inspired by bamboo has more strength in comparison to the common long carbon fiber tube. The kinematic configuration was modeled by the modified Denavit-Hartenberg (D-H) notation. The mean absolute error (MAE) was 5.9 mm, and the root-mean-square error (RMSE) was 6 mm. In addition, verification experiments by tracking the trajectory in Cartesian space and the wear trials on a subject were carried out on the BiEXO prototype. The satisfactory results indicate BiEXO to be a promising system for rehabilitation or assistance in the future.

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Development of a light wearable exoskeleton for upper extremity augmentation

Cited by 16 publications

References 18 publications

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

A Review on Wearable Product Design and Applications

A Bamboo-Inspired Exoskeleton (BiEXO) Based on Carbon Fiber for Shoulder and Elbow Joints

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