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Knowledge-Based Telerehabilitation Monitoring

Abstract : In this paper we describe the main features of an innovative home telerehabilitation system that offers, for both users and physiotherapists, actionable information to gain new insight in the telerehabilitation processes. From the point of view of users, it offers a friendly and immersive exercise interface that shows in two 3D avatars how an exercise must be executed and how the user is executing it respectively. Moreover, during a therapy session, informative elements show up-to-date information to guide and encourage the user. From the point of view of the physiotherapists, the system suggests them appropriate exercises that can be used to define customizable telerehabilitation therapies. Furthermore, another novel contribution of the system is its capacity to transform the raw data collected from a user into information that can help the physiotherapist to improve therapy decision making or the redefinition of existing therapies.
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https://hal.inria.fr/hal-01385359
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Submitted on : Friday, October 21, 2016 - 11:41:39 AM
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David Antón, Idoia Berges, Jesús Bermúdez, Alfredo Goñi, Arantza Illarramendi. Knowledge-Based Telerehabilitation Monitoring. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. pp.237-249, ⟨10.1007/978-3-319-23868-5_17⟩. ⟨hal-01385359⟩

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