Title :
Computational model for dyadic and bimanual reaching movements
Author :
Noohi, Ehsan ; Parastegari, Sina ; Zefran, Milos
Author_Institution :
Robot. Lab. at Electr. & Comput. Eng. Dept., Univ. of Illinois at Chicago, Chicago, IL, USA
Abstract :
While hand trajectory has been successfully modeled for single arm reaching movement, few works have considered the bimanual reaching movement and no study has modeled the dyadic reaching movement. In a bimanual task, both hands belong to the same person, while in a dyadic task each hand belongs to a different person. In this paper, we study both bimanual and dyadic reaching movements and show that the motion trajectory follows the minimum-jerk trajectory. To the best of our knowledge, this is the first work that studies the dyadic reaching movements. Furthermore, we show that our model is consistent with the existing theories on single arm motions, when applied to each of the cooperating arms.
Keywords :
biomechanics; motion control; trajectory control; bimanual reaching movement; bimanual task; computational model; dyadic reaching movement; dyadic task; hand trajectory; minimum-jerk trajectory; motion trajectory; single arm motion; single arm reaching movement; Computational modeling; Correlation; Force; Histograms; Solid modeling; Synchronization; Trajectory;
Conference_Titel :
World Haptics Conference (WHC), 2015 IEEE
Conference_Location :
Evanston, IL
DOI :
10.1109/WHC.2015.7177723