dc.contributor.author |
Artemiadis, P |
en |
dc.contributor.author |
Kyriakopoulos, K |
en |
dc.date.accessioned |
2014-03-01T02:50:57Z |
|
dc.date.available |
2014-03-01T02:50:57Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35239 |
|
dc.subject |
Force Control |
en |
dc.subject |
High Frequency |
en |
dc.subject |
Parametric Model |
en |
dc.subject |
Robot Arm |
en |
dc.subject |
State Space Model |
en |
dc.subject |
Tracking System |
en |
dc.subject |
kalman filter |
en |
dc.subject |
Low Frequency |
en |
dc.subject |
Multi Input Multi Output |
en |
dc.title |
EMG-based position and force control of a robot arm: Application to teleoperation and orthosis |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/AIM.2007.4412420 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/AIM.2007.4412420 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
This paper presents a methodology for the control of a robot arm, using electromyographic (EMG) signals. EMG signals from the muscles of the shoulder and elbow joints are used to predict the corresponding joint angles and the force exerted by the user to the environment through his/her forearm. The user's motion is restricted to a plane. An analysis of various |
en |
heal.journalName |
IEEE/ASME International Conference on Advanced Intelligent Mechatronics |
en |
dc.identifier.doi |
10.1109/AIM.2007.4412420 |
en |