AR based upper limb rehabilitation system

Aung, Yee Mon; Al-Jumaily, Adel

doi:10.1109/biorob.2012.6290680

Cited by 25 publications

(8 citation statements)

References 20 publications

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“…However, to authors' knowledge there are no AR-based rehabilitation systems that are integrated with biofeedback system to monitor the training performance and improvement of patients' condition. Therefore, our group have been developing the rehabilitation systems to improve the upper-limb movements with biofeedback in AR environment , 2012a, 2012b.…”

Section: Upper-limb Rehabilitation Systemmentioning

confidence: 99%

Augmented reality-based RehaBio system for shoulder rehabilitation

Aung

Al-Jumaily

2014

IJMA

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This paper presents the development of rehabilitation with biofeedback (RehaBio) system for upper-limb rehabilitation that can be used to restore the upper-limb lost functions of patients who suffer from traumatic brain injury (TBI), spinal cord injury (SCI) or cerebrovascular accident (CVA), which generally result in paralysis on one side of the body. The system aims to close the gap in the requirements of one-to-one attention between physiotherapist and patient, to replace boring traditional upper-limb rehabilitation exercises and to reduce high healthcare cost. RehaBio is made up of three major modules: database module, rehabilitation exercise module and biofeedback simulation module. Database module provides the information of the patients and their rehabilitation progress while rehabilitation exercise module provides with effective and motivated exercises based on augmented reality approach. Biofeedback simulation module in RehaBio serves two purposes: from physiotherapist point of view, it provides the tracking of biofeedback information of patient's muscle performance and activities. From the patient's point of view, it serves as a visual reflection of current activated muscles that create as an additional motivation during training process. The effectiveness of the RehaBio system was evaluated by performing the experiments and provided with promising results.Keywords: rehabilitation; augmented reality; biofeedback; mechatronics.Reference to this paper should be made as follows: Aung, Y.M. and Al-Jumaily, A. (2014) 'Augmented reality-based RehaBio system for shoulder rehabilitation', Int.

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Section: Upper-limb Rehabilitation Systemmentioning

confidence: 99%

Augmented reality-based RehaBio system for shoulder rehabilitation

Aung

Al-Jumaily

2014

IJMA

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“…The recognition ratio [40] and recognition speed [41] of this system are calculated using (4) and (5…”

Section: Experiments Resultsmentioning

confidence: 99%

In‐Vehicle AR‐HUD System to Provide Driving‐Safety Information

Park¹

2013

ETRI Journal

106

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Augmented reality (AR) is currently being applied actively to commercial products, and various types of intelligent AR systems combining both the Global Positioning System and computer‐vision technologies are being developed and commercialized. This paper suggests an in‐vehicle head‐up display (HUD) system that is combined with AR technology. The proposed system recognizes driving‐safety information and offers it to the driver. Unlike existing HUD systems, the system displays information registered to the driver's view and is developed for the robust recognition of obstacles under bad weather conditions. The system is composed of four modules: a ground obstacle detection module, an object decision module, an object recognition module, and a display module. The recognition ratio of the driving‐safety information obtained by the proposed AR‐HUD system is about 73%, and the system has a recognition speed of about 15 fps for both vehicles and pedestrians.

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“…Therefore, this approach will provide better interactive training environment and more realistic. As far as AR based upper limb rehabilitation systems are concern, researchers in (Aung et al, 2012a;Dinevan et al, 2011) have developed AR based system to promote the reaching movements of upper limb and strengthen the associated muscles. Our group has previously developed AR based upper limb rehabilitation system which integrated with biofeedback system to access the performance of trained muscles and provide with more motivational approach (Aung et al, 2012b;Aung and Al-Jumaily, 2013).…”

Section: Related Workmentioning

confidence: 99%

Illusion Approach for Upper Limb Motor Rehabilitation

Aung¹,

Al-Jumaily²

2013

Proceedings of the International Congress on Neurotechnology, Electronics and Informatics

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SCOPEThe first research works on neurotechnology can be dated back nearly half a century, but it is in the XXI century that most significant advances are being witnessed. Neurotechnology shows a very high potential of enhancing human activities, involving technologies such as biometrics, robotics, brain imaging, brain computer interfaces, and other combinations of neurological and biomedical knowledge with engineering technologies. This congress will be a meeting point of both clinical and engineering professionals, academics and practitioners. It will promote translational discussions on how technology can meet clinical needs of both clinical practitioners and persons with neurological disorders. Neurotechnix will emphasize research and application of neurotechnologies to different neurological disorders, such as: Neuromuscular diseases, Parkinson disease, Developmental disorders, Dementia , Epilepsy, Sleep disorders, Multiple Sclerosis, Neuroinfections, Brain Tumors, Stroke, Traumatic brain injuries, Cerebral Palsy, Spinal Cord Injury, Vision and Hearing disorders, among others. Authors are invited to submit innovative research work that highlights new advancements of neurotechnology either in general or regarding a particular case, application or pathology. New ideas on how to approach neurotechnology challenges and issues will arise from the congress. Both clinical and engineering viewpoints are expected. Papers describing case studies, advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are encouraged. Papers should describe original work in any of the topics listed below. Presentations will confront engineering and clinical viewpoints for building consensus around the following areas: 1) new interventions, 2) objective evaluation and assessment of therapeutic programs, 3) assisted diagnosis, 4) effective implementation of technology driven services in neurological diseases. CONGRESS TOPICS SUBMISSIONAuthors should submit either a complete paper or an extended abstract in English, carefully checked for correct grammar and spelling, addressing one or several of the congress areas or topics. Each submission should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide their entry WITHOUT any reference to any of the authors, including the authors' personal details, eventual acknowledgments and any other reference that may disclose the authors' identity.Only original contributions should be submitted. Authors are advised to read INSTICC's ethical norms regarding plagiarism and self-plagiarism thoroughly before submitting and must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. Papers or Extended Abstracts that contain any form of plagia...

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AR based upper limb rehabilitation system

Cited by 25 publications

References 20 publications

Augmented reality-based RehaBio system for shoulder rehabilitation

Augmented reality-based RehaBio system for shoulder rehabilitation

In‐Vehicle AR‐HUD System to Provide Driving‐Safety Information

Illusion Approach for Upper Limb Motor Rehabilitation

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