Bionic arm : Mapping of elbow and wrist flexion using neural network and fuzzy logic
Joint Authors
M., Aiswarya Lakshmi
Dash, Anjan Kumar
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 4 B (31 Dec. 2021), pp.359-376, 18 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-12-31
Country of Publication
Kuwait
No. of Pages
18
Main Subjects
Abstract EN
Cases on limb amputation necessitate the use of transhumeral bionic for artificial limb rehabilitation, which is controlled using electromyographic (EMG) signals from the muscles.
before the implementation of EMG control, a mapping between the movements of an arm to the angle formed at the corresponding joints is essential to be made.
most of the works in the field of bionics use supervised machine learning models, chiefly classification, to map muscle flexion signals to joint actuations in the bionic arm.
ample literature is also there, which uses fuzzy logic for mapping.
however, there are very few literatures that compare these two methods of mapping.
in this article, 2 models have been discussed regarding the mapping, and their effectiveness is compared.
the first model captures elbow and wrist flexion and maps them to their respective angular displacements of joints using a fuzzy logic model.
in the second model, a pattern recognition artificial neural network (ANN) model under supervised machine learning is incorporated to map elbow and wrist flexion to the corresponding joint angular displacement.
the ANN is trained with elbow and wrist joint flexion values and its corresponding joint angles data, optimized, and tested in real-time.
this model is verified by comparing the joint angles of a test person (measured using goniometers) with the joint angles of bionic models made (using a 360° protractor sheet).
the second model gave the insight that supervised machine learning models provide an accurate mapping to the joint flexion in the field of bionics.
American Psychological Association (APA)
M., Aiswarya Lakshmi& Dash, Anjan Kumar. 2021. Bionic arm : Mapping of elbow and wrist flexion using neural network and fuzzy logic. Journal of Engineering Research،Vol. 9, no. 4 B, pp.359-376.
https://search.emarefa.net/detail/BIM-1494827
Modern Language Association (MLA)
M., Aiswarya Lakshmi& Dash, Anjan Kumar. Bionic arm : Mapping of elbow and wrist flexion using neural network and fuzzy logic. Journal of Engineering Research Vol. 9, no. 4 B (Dec. 2021), pp.359-376.
https://search.emarefa.net/detail/BIM-1494827
American Medical Association (AMA)
M., Aiswarya Lakshmi& Dash, Anjan Kumar. Bionic arm : Mapping of elbow and wrist flexion using neural network and fuzzy logic. Journal of Engineering Research. 2021. Vol. 9, no. 4 B, pp.359-376.
https://search.emarefa.net/detail/BIM-1494827
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 374-376
Record ID
BIM-1494827