Abstract
We are currently living in an age of COVID, where we wish to reduce physical contact as much as possible. It is even more important for patients who live in nursing homes and need wheelchairs. It is noticeable that people who live in nursing homes usually have an elder average age, and are more likely to have some underlying disease. Therefore they need extra care to resist COVID. As we all know, the most common and effective countermeasure against COVID is to avoid close contact. However, for most people who lives in a nursing home, there are plenty of daily activities that are mandatory for them. They have to spend considerable time moving on a wheel chair with a assistant pushing the wheelchair. Which made the assistant and the user a close contact to each other. We plan to design a auto-navigation computer system for electric wheelchairs. So it can be possible for electric wheelchair users to go to various places in nursing home without a assistant aside, reducing the risk of infection, as well as the human resource needed.
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Acknowledgement
This work was supported by Japan Science and Technology Agency. JST CREST: JPMJCR19F2, Research Representative: Prof. Yoichi Ochiai, University of Tsukuba, Japan.
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Zhang, Z., Lu, JL., Ochiai, Y. (2022). Indoor Auto-Navigate System for Electric Wheelchairs in a Nursing Home. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies. HCII 2022. Lecture Notes in Computer Science, vol 13308. Springer, Cham. https://doi.org/10.1007/978-3-031-05028-2_36
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DOI: https://doi.org/10.1007/978-3-031-05028-2_36
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