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A Mobile Augmented Reality Framework for Post-stroke Patient Rehabilitation

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9010))

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Abstract

In this paper, we put forward a novel framework based on mobile augmented reality (AR) to enhance the post stroke patients participation in the rehabilitation process. The exercises performed in the rehabilitation centers are monotonous and thus requires maximum effort and time from both the patients and the occupational therapists. We propose to combine these tedious activities with the interactive mobile augmented reality technologies. We call this framework Cogni-Care. In this paper, we introduce the underlying architecture of the system that eases the work of the stakeholders involved in the process of stroke recovery. We also present two exercises to improve the fine motor skills, AR-Ball exercise and AR-Maze exercise, as examples and perform the initial usability study.

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Correspondence to Sujay Babruwad .

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Babruwad, S., Avaghan, R., Mudenagudi, U. (2015). A Mobile Augmented Reality Framework for Post-stroke Patient Rehabilitation. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9010. Springer, Cham. https://doi.org/10.1007/978-3-319-16634-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-16634-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16633-9

  • Online ISBN: 978-3-319-16634-6

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