Human vs. robotic tactile sensing: Detecting lumps in soft tissue
| Autor: | Allison M. Okamura, Steven S. Hsiao, James C. Gwilliam, Zachary Pezzementi, Erica Jantho |
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| Rok vydání: | 2010 |
| Předmět: |
medicine.diagnostic_test
ComputingMethodologies_SIMULATIONANDMODELING InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science Tactile imaging business.industry Capacitive sensing Soft tissue Palpation GeneralLiterature_MISCELLANEOUS body regions surgical procedures operative medicine Computer vision Detection theory Artificial intelligence Tissue stiffness skin and connective tissue diseases business Tactile sensor Artificial tissue |
| Zdroj: | HAPTICS |
| DOI: | 10.1109/haptic.2010.5444685 |
| Popis: | Humans can localize lumps in soft tissue using the distributed tactile feedback and processing afforded by the fingers and brain. This task becomes extremely difficult when the fingers are not in direct contact with the tissue, such as in laparoscopic or robot-assisted procedures. Tactile sensors have been proposed to characterize and detect lumps in robot-assisted palpation. In this work, we compare the performance of a capacitive tactile sensor with that of the human finger. We evaluate the response of the sensor as it pertains to robot-assisted palpation and compare the sensor performance to that of human subjects performing an equivalent task on the same set of artificial tissue models. Furthermore, we investigate the effects of various tissue parameters (lump size, lump depth, and surrounding tissue stiffness) on the performance of both the human finger and the tactile sensor. Using signal detection theory for determining tactile sensor lump detection thresholds, the tactile sensor outperforms the human finger in a palpation task. |
| Databáze: | OpenAIRE |
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