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Accurate hand pose estimation at joint level has several uses on human-robot interaction, user interfacing and virtual reality applications.
doi:10.1109/34.159901
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Q. D. Smedt, H. Wannous, J.-P. Vandeborre, J. Guerry, B. L. Saux, D. Filliat, 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset, in: I. Pratikakis, F. Dupont, M. Ovsjanikov (Eds.), Eurographics Workshop on 3D Object Retrieval, The Eurographics Association, 2017 · 2017
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Cited alongside, same era.
J. Tompson, M. Stein, Y. Lecun, K. Perlin, Real-time continuous pose recovery of human hands using convolutional networks, ACM Transactions on Graphics 33
Cited in the paper.