Abstract
This paper presents a tactile recognition system in the PetH robot. The presented PetH robot can be expected to improve wellbeing of the elderly in the future. We first describe the system overview of PetH robot. The next focus is on proposing the real-time tactile recognition system, which includes selection of touch pattern, extraction of features, building the memory and touch recognition based on Bayes classifier. The experiment results demonstrate that the recognition system is robust and highly accurate.
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Yan, R., Li, Q., Tan, Y.K., Wong, A. (2013). Tactile Recognition in PetH Robot for Wellbeing of the Elderly. In: Biswas, J., Kobayashi, H., Wong, L., Abdulrazak, B., Mokhtari, M. (eds) Inclusive Society: Health and Wellbeing in the Community, and Care at Home. ICOST 2013. Lecture Notes in Computer Science, vol 7910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39470-6_40
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DOI: https://doi.org/10.1007/978-3-642-39470-6_40
Publisher Name: Springer, Berlin, Heidelberg
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