Abstract
We describe a framework for virtualizing the documented physiotherapy instructions. This paper tries to bridge the gap between human understanding and the written manuals of instructions for physiotherapy through a pipeline of language processing techniques. As mapping of text to action needs accurate synchronization between the sequence of commands and generation of action, a structure has been developed that reflects the modeling techniques followed by some of the important action rendering systems. The idea is to put the semantic information into the proposed structure and add the implicit knowledge related to the domain. It eases the process of manual mapping of wearable sensor data of human body movements to rather a simple analysis of textual instructions. The Natural Language Processing pipeline will involve among others some of the main concepts as semantic and spatial information processing as these carries vital importance in this approach.
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Acknowledgements
This research was partially supported by DST-DAAD Project Based Personnel Exchange Programme: an Indo-German Joint Research Collaboration (No. INT/FRG/DAAD/P-15/2016). Authors also acknowledge Department of Computer Science & Engineering, National Institute of Technology Mizoram, India, for supporting the research.
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Dash, S.K., Pakray, P., Gelbukh, A. (2017). Generating a Logical Structure for Virtualizing Physiotherapy Instructions Through NLP. In: Pichardo-Lagunas, O., Miranda-Jiménez, S. (eds) Advances in Soft Computing. MICAI 2016. Lecture Notes in Computer Science(), vol 10062. Springer, Cham. https://doi.org/10.1007/978-3-319-62428-0_42
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DOI: https://doi.org/10.1007/978-3-319-62428-0_42
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