Abstract
We introduce a novel Assistive Technology for Cognition. The TEBRA system assists persons with cognitive disabilities in brushing teeth by prompting the user. We develop the system based on an analysis of the task using qualitative data analysis. We recognize different substeps using a recognition component based on a Bayesian network. The user’s progress in the task is monitored using a Finite State Machine and a dynamic timing model which allows for different velocities of task execution. We evaluate the TEBRA system in a first study with regular users and analyze the timing behavior of the system in detail. We found that the system is able to provide appropriate prompts in terms of timing and modality to assist a user through the complex task of brushing teeth.
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Acknowledgements
The authors would like to thank the inhabitants and caregivers of Haus Bersaba for their cooperation. This work was funded by the German Research Foundation (DFG), Excellence Cluster 277 “Cognitive Interaction Technology”. Special thanks to Simon Schulz from the CITEC Central Lab Facilities for integrating the sensor module into the toothbrush.
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Peters, C., Hermann, T., Wachsmuth, S. (2014). TEBRA: Automatic Task Assistance for Persons with Cognitive Disabilities in Brushing Teeth. In: Fernández-Chimeno, M., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2013. Communications in Computer and Information Science, vol 452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44485-6_23
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DOI: https://doi.org/10.1007/978-3-662-44485-6_23
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