DocumentCode :
171624
Title :
IR vision system for the estimation of gait phase of the MIT-Skywalker
Author :
Susko, Tyler ; Krebs, H.I.
Author_Institution :
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2014
fDate :
25-27 April 2014
Firstpage :
1
Lastpage :
2
Abstract :
The MIT-Skywalker is a robotic device intended to promote gait rehabilitation. It makes use of the concept of passive walkers, using gravity to actuate the leg during the swing phase. The timing and profile of the robot actuation relies on gait phases triggered by the subject´s leg position. We employ a vision system to determine these phases. In this paper, we present this novel vision system employed to determine the two-dimensional gait kinematics in the sagittal plane. The system uses a single high resolution camera running at a high frame rate to enable human-in-the-loop control of the robot. Operating solely in the infrared spectrum, the vision system is able to be used in cluttered clinical environments. Here we characterize the performance of this vision system, showing angle errors of less Than 1° with a loop time smaller than 10 msec Such accuracy and speed allow smooth motion control of the MIT-Skywalker and can also log high resolution gait data.
Keywords :
actuators; biomedical optical imaging; cameras; error analysis; feature extraction; gait analysis; gravity; image motion analysis; infrared imaging; kinematics; medical image processing; medical robotics; patient rehabilitation; IR vision system; MIT-Skywalker motion control; angle error; cluttered clinical environment usage; gait phase determination; gait phase estimation; gait phase triggering; gait rehabilitation; gait swing phase; gravity effect; high frame rate; high resolution gait data logging; human-in-the-loop control; infrared vision system; leg actuation; leg position; loop time; passive walker; robot actuation profile; robot actuation timing; robot control; robotic device; single high resolution camera; two-dimensional gait kinematic determination; vision system performance characterization; Infrared camera; Kinematic motion capture; robotic rehabilitation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference (NEBEC), 2014 40th Annual Northeast
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/NEBEC.2014.6972951
Filename :
6972951
Link To Document :
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