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Article | Summary of findings |
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Lozano-Quilis et al. [86] | Provided MS patients with motor rehab exercises using Kinect |
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Gonzalez et al. [72] | Estimated CoM in human subjects using Kinect data in real time |
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González et al. [73] | Compared CoM estimation for in-home rehab using Kinect + Wii vs. Vicon |
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Hsiao et al. [71] | Developed digitized Box and Block Test to measure unilateral gross manual dexterity |
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Chavezguevara et al. [89] | Provided therapists a controller to operate the exoskeleton based on force feedback and limb’s position retrieval |
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Sadihov et al. [90] | Enhanced immersion and providing sensory feedback in VR environment rehab training using motion-based tactile rendering algorithm |
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Pogrzeba et al. [95] | Provided motion analysis system |
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Cordella et al. [85] | Provided marker-based finger tracking with Bayesian estimation |
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Cervantes et al. [88] | Conducted a case study for cognitive rehab |
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Abdur Rahman et al. [87] | Provided multimedia (Second Life) interactive therapy for disabled children |
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Gotsis et al. [74] | Created a platform for prototyping of VR-based games for rehab |
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Calin et al. [75] | Monitored patients using Kinect |
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Saini et al. [81] | Proposed a framework for gamified rehab |
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Yeh et al. [82] | Proposed an interactive interface for games in stroke rehab |
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Borghese et al. [83] | Integrated Kinect with a fully adaptive game engine for stroke rehab |
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Brokaw and Brewer [76] | Developed HAMSTER: a Kinect-based home rehab system |
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Huang et al. [77] | Integrated Kinect and Smart Glove into a hand motion capture system |
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Gama et al. [49], Da Gama et al. [78] | Developed a system to provide guidance and correction in therapeutic exercises |
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de Urturi et al. [79] | Developed JeWheels: an exergame to improve motor skills and cognitive abilities for wheelchair users |
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Kitsunezaki et al. [84] | Developed a system for real time ROM measurement in standard walking tests |
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Scherer et al. [80] | Enhanced functional brain mapping by tracking self-paced hand opening and closing |
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Yao et al. [96] | Propose Kinect as assistance for therapists to improve the treatment process and increase patients’ motivation |
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Galeano et al. [97] | Proposed a balance training tool using Kinect and Wii |
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Borghese et al. [98] | Investigated the needs of the patients and clinicians in a home-based rehabilitation scenario and identified Kinect as one of the main tools for such systems |
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Cipresso et al. [99] | Targeted unilateral spatial neglect which is in patients with stroke and analyzed different grasping tasks to evaluate the patient’s ability in handling virtual objects in both sides of their workspace in an ecological way |
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Brokaw et al. [100] | Used Kinect to detect and limit compensatory postures in robotic rehabilitation |
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Venugopalan et al. [101] | Proposed a home-based system for assessment and rehab of patients with traumatic brain injury and validated it with 2 healthy individuals |
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Gibson et al. [102] | Evaluate the feasibility of using theKinect for activity classification and behavioral mapping of patients at bed rest |
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Metcalf et al. [103] | Used Kinect’s depth imaging and established a finger joint measurement method that is more accurate than clinically based alternatives and manual measurement methods |
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Guerrero and Uribe-Quevedo [104] | Developed a software that tracks patient’s posture which also guides the patient to match their posture with a model posture |
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Lange et al. [105] | Developed an interactive game-based rehabilitation tool using the Kinect to improve balance function in patients with neurological injury |
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