Title | ||
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TEBRA: Automatic Task Assistance for Persons with Cognitive Disabilities in Brushing Teeth |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1007/978-3-662-44485-6_23 | BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOSTEC 2013) |
Keywords | Field | DocType |
Cognitive assistive technology,Task analysis,Bayesian network,Dynamic timing model,User study | Task analysis,Computer science,Finite-state machine,Bayesian network,Artificial intelligence,Cognitive disabilities,Qualitative research,Cognition,Machine learning | Conference |
Volume | ISSN | Citations |
452 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Peters | 1 | 54 | 4.91 |
Thomas Hermann | 2 | 24 | 8.52 |
Sven Wachsmuth | 3 | 267 | 43.83 |