If your rehab department hasn't implemented any objective motion detection system, then they are completely incompetent. This is only 6 years old. A PT I had once told me to 'walk this way'. Totally fucking useless, no analysis of exactly what muscles needed to be worked on and the exercise that would correct those problems. If your stroke department head doesn't understand this concept then they need to be replaced. And should have been way back in 2012. OR YOU CAN KEEP YOUR INCOMPETENT HOSPITAL AND HAVE THEM FAIL YOUR CHILDREN AND GRANDCHILDREN.
Maybe start by looking at these:
-
motion analysis
(5 posts to April 2013)
-
motion capture
(8 posts to March 2013)
-
motion capture software
(1 post to July 2017)
-
motion capture system
(3 posts to June 2013)
-
Motion Pattern Tracking
(1 post to January 2016)
-
motion sensors
(12 posts to August 2012)
-
motion tracking
(2 posts to December 2015)
-
motion-capture sensors
(1 post to May 2017)
Wearable Gait Measurement System with an Instrumented Cane for Exoskeleton Control
Modar Hassan 1,*,
Hideki Kadone 2,
Kenji Suzuki 1,2,3
and
and
Yoshiyuki Sanka 1,2
1 Graduate School of Systems and Information Engineering, University of Tsukuba,Tsukuba 305-8577, Japan; E-Mails: kenji@ieee.org (K.S.); sankai@golem.kz.tsukuba.ac.jp (Y.S.)
2 Center for Cybernics Research, University of Tsukuba, Tsukuba 305-8577, Japan;E-Mail: kadone@ccr.tsukuba.ac.jp
3 Japan Science and Technology Agency, Saitama 332-0012, Japan
*
Author to whom correspondence should be addressed; E-Mail: modar@ai.iit.tsukuba.ac.jp;Tel.: +81-29-853-5679; Fax: +81-29-853-5761.
Received: 15 November 2013; in revised form: 31 December 2013 / Accepted: 31 December 2013 / Published: 17 January 2014
Abstract:
In this research we introduce a wearable sensory system for motion intention estimation and control of exoskeleton robot. The system comprises wearable inertial motion sensors and shoe-embedded force sensors. The system utilizes an instrumented cane as apart of the interface between the user and the robot. The cane reflects the motion of upper limbs, and is used in terms of human inter-limb synergies. The developed control system provides assisted motion in coherence with the motion of other unassisted limbs. The system utilizes the instrumented cane together with body worn sensors, and provides assistance for start, stop and continuous walking. We verified the function of the proposed method and the developed wearable system through gait trials on treadmill and on ground. The achievement contributes to finding an intuitive and feasible interface between human and robot through wearable gait sensors for practical use of assistive technology. It also contributes to the technology for cognitively assisted locomotion, which helps the locomotion of physically challenged people.
1 Graduate School of Systems and Information Engineering, University of Tsukuba,Tsukuba 305-8577, Japan; E-Mails: kenji@ieee.org (K.S.); sankai@golem.kz.tsukuba.ac.jp (Y.S.)
2 Center for Cybernics Research, University of Tsukuba, Tsukuba 305-8577, Japan;E-Mail: kadone@ccr.tsukuba.ac.jp
3 Japan Science and Technology Agency, Saitama 332-0012, Japan
*
Author to whom correspondence should be addressed; E-Mail: modar@ai.iit.tsukuba.ac.jp;Tel.: +81-29-853-5679; Fax: +81-29-853-5761.
Received: 15 November 2013; in revised form: 31 December 2013 / Accepted: 31 December 2013 / Published: 17 January 2014
Abstract:
In this research we introduce a wearable sensory system for motion intention estimation and control of exoskeleton robot. The system comprises wearable inertial motion sensors and shoe-embedded force sensors. The system utilizes an instrumented cane as apart of the interface between the user and the robot. The cane reflects the motion of upper limbs, and is used in terms of human inter-limb synergies. The developed control system provides assisted motion in coherence with the motion of other unassisted limbs. The system utilizes the instrumented cane together with body worn sensors, and provides assistance for start, stop and continuous walking. We verified the function of the proposed method and the developed wearable system through gait trials on treadmill and on ground. The achievement contributes to finding an intuitive and feasible interface between human and robot through wearable gait sensors for practical use of assistive technology. It also contributes to the technology for cognitively assisted locomotion, which helps the locomotion of physically challenged people.
No comments:
Post a Comment