2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) 2020
DOI: 10.1109/ecbios50299.2020.9203759
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Virtual Reality Training System for Rehabilitation of Patients with Stroke Based on Compensatory Movement Detection

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Cited by 3 publications
(1 citation statement)
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“…External motion capture systems (4 out of 6) were more frequently used in occupational therapy than builtin motion capture systems (2 out of 6). Theses sensors include the pinch force sensor [34], IMU [41], and leap motion trackers [29,40] that were used to track precise and complex limb movements required in training tasks in occupational therapy. Based on this observation, one can suspect that built-in motion capture systems may not be that suitable for occupational therapy using virtual rehabilitation to some extent.…”
Section: Occupational Therapymentioning
confidence: 99%
“…External motion capture systems (4 out of 6) were more frequently used in occupational therapy than builtin motion capture systems (2 out of 6). Theses sensors include the pinch force sensor [34], IMU [41], and leap motion trackers [29,40] that were used to track precise and complex limb movements required in training tasks in occupational therapy. Based on this observation, one can suspect that built-in motion capture systems may not be that suitable for occupational therapy using virtual rehabilitation to some extent.…”
Section: Occupational Therapymentioning
confidence: 99%