This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Lacey S, Campbell C, Sathian K. Vision and touch: multiple or multisensory representations of objects? Perception, 2007, 36: 1513–1521
Chitta S, Sturm J, Piccoli M, et al. Tactile sensing for mobile manipulation. IEEE Trans Robot, 2011, 27: 558–568
Schmitz A, Bansho Y, Noda K, et al. Tactile object recognition using deep learning and dropout. In: Proceedings of IEEE-RAS International Conference on Humanoid Robots, 2014. 1044–1050
Liu H P, Guo D, Sun F C. Object recognition using tactile measurements: kernel sparse coding methods. IEEE Trans Instrum Meas, 2016, 65: 656–665
Woods A T, Newell F N. Visual, haptic and crossmodal recognition of objects and scenes. J Physiol–Paris, 2004, 98: 147–159
Gao Y, Hendricks L A, Kuchenbecker K J. Deep learning for tactile understanding from visual and haptic data. 2015. ArXiv:1511.06065
Güler P, Bekiroglu Y, Gratal X. What’s in the container? Classifying object contents from vision and touch. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. 3961–3968
Liu H P, Wu Y P, Sun F C, et al. Weakly paired multimodal fusion for object recognition. IEEE Trans Autom Sci Eng, 2018, 15: 784–795
Zhang W C, Sun F C, Wu H, et al. A framework for the fusion of visual and tactile modalities for improving robot perception. Sci China Inf Sci, 2017, 60: 012201
This work was supported by National Natural Science Foundation of China (Grant Nos. 61503212, 61703284, U1613212), in part by National Science Foundation of China and the German Research Foundation in Project Cross Modal Learning, NSFC 61621136008/DFG TRR-169.
About this article
Cite this article
Fang, B., Sun, F., Liu, H. et al. A glove-based system for object recognition via visual-tactile fusion. Sci. China Inf. Sci. 62, 50203 (2019). https://doi.org/10.1007/s11432-018-9606-6