Abstract
Bed care skills are highly demanded in an elderly society. Therefore, intelligent training service begins to appear for automatically transferring a skill. In this paper, we proposed a bed care activity analysis framework containing three entities: nurse, patient, and environment. Nurse activity was represented by actions with patient or environment. These interactions were recognized by body part gesture and represented by agent-motion-target type in linguistics. The bed care task-patient repositioning carried out in motion capture system was analyzed by the proposed framework and represented by linguistic description. Thus, activity was automatically observed in the training service.
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Acknowledgment
This work was in part supported by JST RISTEX Service Science, Solutions and Foundation Integrated Research Program, and the MEXT KAKENHI, Grant-in-Aid for Scientific Research (B) 24300198.
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Qiao, X. et al. (2017). Nurse Bed Care Activity Analysis for Intelligent Training Service. In: Sawatani, Y., Spohrer, J., Kwan, S., Takenaka, T. (eds) Serviceology for Smart Service System. ICServ 2015. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56074-6_18
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DOI: https://doi.org/10.1007/978-4-431-56074-6_18
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-56072-2
Online ISBN: 978-4-431-56074-6
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