2021
DOI: 10.21203/rs.3.rs-418019/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A bionic soft robotic glove mimicking finger actions based on sEMG recognition

Abstract: Compared with rigid robots, soft robotics is more suitable to develop anthropomorphic digits that mimics the biological structures and dexterous motions of human finger. This study proposed a surface electromyogram (sEMG) sensors-based soft robotic glove system which was able to recognize the finger activities and execute the same operation via the bionic glove. Finger activities can be recognized by using electrodes sensors to monitor the electric potential variations on specific surface of the forearm muscle… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 36 publications
0
1
0
Order By: Relevance
“…Tang et al developed an online learning model which takes into account the interaction of two soft-segment robotic digits and a human finger model for an adaptive control strategy ( Tang et al, 2021 ). A simple force analysis and interaction model was developed for a cybernetic finger for hand paralysis ( Yoshikawa et al, 2019) , a bionic soft robotic glove ( Zhao et al, 2021 ) with a hybrid soft-and-rigid architecture, and a torque characterization for enfolded textile-based soft actuators ( Nassour and Hamker, 2019) . Extensive work has been carried out on a hybrid soft-and-rigid actuator-based hand rehabilitation robot (UTARI REHAB Glove), where the soft robotic finger was made of an elastomer ( Haghshenas-Jaryani et al, 2016a ; Haghshenas-Jaryani et al, 2017b ; Haghshenas-Jaryani et al, 2020 ), including pHRI kinematic and modeling and characterization ( Haghshenas-Jaryani et al, 2017a ; Haghshenas-Jaryani and Wijesundara, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…Tang et al developed an online learning model which takes into account the interaction of two soft-segment robotic digits and a human finger model for an adaptive control strategy ( Tang et al, 2021 ). A simple force analysis and interaction model was developed for a cybernetic finger for hand paralysis ( Yoshikawa et al, 2019) , a bionic soft robotic glove ( Zhao et al, 2021 ) with a hybrid soft-and-rigid architecture, and a torque characterization for enfolded textile-based soft actuators ( Nassour and Hamker, 2019) . Extensive work has been carried out on a hybrid soft-and-rigid actuator-based hand rehabilitation robot (UTARI REHAB Glove), where the soft robotic finger was made of an elastomer ( Haghshenas-Jaryani et al, 2016a ; Haghshenas-Jaryani et al, 2017b ; Haghshenas-Jaryani et al, 2020 ), including pHRI kinematic and modeling and characterization ( Haghshenas-Jaryani et al, 2017a ; Haghshenas-Jaryani and Wijesundara, 2018 ).…”
Section: Introductionmentioning
confidence: 99%