Abstract
Care for people suffering from cognitive impairment is demanding and requires a high level of personnel attendance by nurses and driving costs as well as the need for additional human resources. Specifically, the toileting process is a neglected area and taboo topic that has not been tackled so far. People with cognitive impairments like dementia often cannot go to the toilet on their own. Instead, caregivers need to accompany them to provide assistance. We present a computer vision solution which detects the current pose of a person on the toilet based on privacy-preserving 3D depth data. Instructions of the next step the user needs to perform is provided on a screen. The proposed toileting guide is regarded to be useful in terms of increased autonomy, especially for persons with mild dementia. Additionally, time is expected to be relieved care givers which leads to improvement of work load and efficiency.
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This work has been partially funded by FFG and AAL under grant number AAL-2019–6-150-CP.
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Lumetzberger, J., Ginzinger, F., Kampel, M. (2021). Sensor-Based Toilet Instructions for People with Dementia. In: Nunes, I.L. (eds) Advances in Human Factors and System Interactions. AHFE 2021. Lecture Notes in Networks and Systems, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-030-79816-1_13
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DOI: https://doi.org/10.1007/978-3-030-79816-1_13
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