Abstract
This paper presents how humans trained in primitive haptic based patterns using a wearable sleeve, can recognize their scaling and shifting. The wearable sleeve consisted of 7 vibro-actuators to stimulate subjects arm to convey the primitive haptic based patterns. The focus of this study to understand (1) whether the human somatosensory system uses primitive patterns that can be modeled using Gaussian like functions to represent haptic perceptions, (2) whether these primitive representations are localized (cannot be shifted along the skin) and magnitude specific (cannot be scaled). These insights will help to develop more efficient haptic feedback systems using a small number of templates to be learnt to encode complex haptic messages.
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Acknowledgments
The authors would like to thank UK Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/I028765/1 and grant no. EP/NO3211X/1, the Guy’s and St Thomas’ Charity grant on developing clinician-scientific interfaces in robotic assisted surgery: translating technical innovation into improved clinical care (grant no. R090705), Higher Education Innovation Fund (HEIF), and Vattikuti foundation.
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Ranasinghe, A., Althoefer, K., Dasgupta, P., Nagar, A., Nanayakkara, T. (2017). Wearable Haptic Based Pattern Feedback Sleeve System. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-10-3325-4_30
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DOI: https://doi.org/10.1007/978-981-10-3325-4_30
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