You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
|
---|---|
Published in |
Research on Biomedical Engineering, August 2017
|
DOI | 10.1590/2446-4740.08516 |
Authors |
John Jairo Villarejo Mayor, Regina Mamede Costa, Anselmo Frizera, Teodiano Freire Bastos |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 21% |
Student > Ph. D. Student | 7 | 15% |
Student > Doctoral Student | 5 | 10% |
Researcher | 4 | 8% |
Student > Bachelor | 2 | 4% |
Other | 6 | 13% |
Unknown | 14 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 18 | 38% |
Computer Science | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Unspecified | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 4 | 8% |
Unknown | 19 | 40% |