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In Fig.8, the dexterity assessment of the same motion data used in section 3 is pre-
sented. Here Dext(j) is the dexterity computed using movement classification based
on jerk. By adhering to this method, users are provided with the realtime computation
of the quality of the movement. At present movements are taken from the magnetic
movement tracker.
Further work is to analyze the movements from the realtime video and compare the
results of the movement quality obtained using the motion signal data from digital
forceps with the motion extracted from the video. It will help create performing real
suturing experiments under the training.
Acknowledgments. We acknowledge grants A*STAR ETPL HQ/S10-085COT0_06
and SPRING TI/TECS/POV/12/2 that enabled portions of this research. We also
acknowledge the enthusiastic help from the staff of Robotics and Control Lab at NUS
and Digital Surgicals Pte Ltd
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