The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models

Author:

Muaaz Muhammad,Abdelgawwad Ahmed,Pätzold Matthias

Publisher

Springer International Publishing

Reference18 articles.

1. Abdelgawwad, A., Pätzold, M.: A framework for activity monitoring and fall detection based on the characteristics of indoor channels. In: IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, June 2018

2. Abdelgawwad, A., Pätzold, M.: On the influence of walking people on the Doppler spectral characteristics of indoor channels. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–7. IEEE (2017)

3. Delp, S.L., et al.: OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans. Biomed. Eng. 54(11), 1940–1950 (2007)

4. Harville, M., Li, D.: Fast, integrated person tracking and activity recognition with plan-view templates from a single stereo camera. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Washington, DC, USA, pp. 398–405. IEEE Computer Society (2004)

5. Hicks, J.: OpenSim documentation (2018). https://simtk-confluence.stanford.edu/x/pga9AQ . Accessed 19 Feb 2019

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