Name
Abstract | ||
|---|---|---|
This paper uses experimental data to model the human arm at the elbow joint. Direct models have been published before: this papers addresses inverse models (i.e. relating the force at the hand With the arm angle). Models used were integer, fractional commensurable and fractional mm-comrnensurable order transfer functions as well as neural. networks (used as a term of comparison). Results show the superiority of fractional models, simpler, more exact, and with less parameter uncertainty. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.5220/0005276701560161 | BIODEVICES: PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON BIOMEDICAL ELECTRONICS AND DEVICES |
Keywords | DocType | Citations |
Human Arm Models,Surgical Robots,Fractional Calculus,Neural Networks | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Ventura | 1 | 0 | 0.34 |
| Inés Tejado | 2 | 51 | 10.46 |
| Duarte Valério | 3 | 70 | 9.38 |
| Jorge Martins | 4 | 0 | 1.01 |