english only
EPFL > STI > IMT > LASA > Publications > BibTex

author = {Batzianoulis, I. and El-Khoury, S. and Micera, S. and Billard, A.},
title = {EMG-Based Analysis of the Upper Limb Motion},
howpublished = { HRI Late-Breaking Reports},
year = {2015},
abstract = {In a human robot interaction scenario, predicting the human motion intention is essential for avoiding inconvenient delays and for a smooth reactivity of the robotic system. In particular, when dealing with hand prosthetic devices, an early estimation of the final hand gesture is crucial for a smooth control of the robotic hand. In this work we develop an electromyographic (EMG) based learning approach that decodes the grasping intention at an early stage of the
reaching to grasping motion, i.e before the final grasp/hand preshape takes place. EMG electrodes are used for recording the arm muscles activities and a cyberglove is used to measure the finger joints during the reach and grasp motion. Results show that we can correctly classify with 90% accuracy for three typical grasps before the onset of the hand preshape. Such an early detection of the grasp intention allows to control a robotic hand simultaneously to the motion of subject's arm, hence generating no delay between the
natural arm motion and the artificial hand motion.},

Downloadable files: 0) { $tempFile = $row['pdfFile']; $temp = "pdf"; echo "[$temp] "; } // ps.Z if (strlen($row['psZFile'])>0) { $tempFile = $row['psZFile']; $temp = "ps.Z"; echo "[$temp] "; } // ps.gz if (strlen($row['psgzFile'])>0) { $tempFile = $row['psgzFile']; $temp = "ps.gz"; echo "[$temp] "; } ?>

Last update: 25/08/06