Examination of Kinect’s Torso PCA Model for Planar Activities Assessment after Stroke
P N. Nordin1, S.Q. Xie2, B. Wuensche3
1N. Nordin, Center of Robotics and Industrial Automation, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
2S.Q. Xie, School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
3B. Wuensche, Department of Computer Science, University of Auckland, Auckland, New Zealand.
Manuscript received on 09 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 476-482 | Volume-8 Issue-12S2 October 2019 | Retrieval Number: L109110812S219/2019©BEIESP | DOI: 10.35940/ijitee.L1091.10812S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Compensatory movement after stroke occurred when inter-joint coordination between arm and forearm for the purpose of arm transport becomes limited due to the weaknesses of the upper limb after stroke. This limitation causes an inefficiency of hand movement to perform the activity of daily living (ADL). Previous work has shown the possibility of using Kinect to assess torso compensation in typical assessment of upper limb movement in a stroke-simulated setting using a Torso Principal Component Analysis (PCA) Model. This research extends the study into evaluating Torso PCA Model in terms of orientation angles of the torso in three dimensional when performing planar activities namely circle tracing and point-to-point tracing. The orientation angles were compared to the outcome of the measurement from a standard motion capture system and Kinect’s intrinsic chest orientation angles. Based on the statistical results, Torso PCA model is concurrently valid with the clinically accepted measures of torso orientation and can be used further to analyze torso compensation in stroke patients.
Keywords: Compensatory Movement, PCA, Stroke, torso Angle.
Scope of the Article: Open Models and Architectures