Michal Kepski
Computer Vision and Pattern Recognition · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #15,275 of 21,575 by trust here, #19,766 by citations
- Biomedical Engineering — 13 citations into it; #5,957 of 10,734 by trust here, #9,794 by citations
Whom Michal Kepski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muhammad Mubashir
- Chih-Jen Lin
- Dimitrios Makris
- Frank Sposaro
- Ling Shao
- Nicholas Luke Seed
- Gary S. Tyson
- Daniel Weinland
Who trusts Michal Kepski overall
Papers from Michal Kepski's perspective
Ordered by how strongly the researchers Michal Kepski trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- Support-Vector Networks
- Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm.
- Fall detection - Principles and Methods (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
- Information Theory: 1948-1998 - Guest Editorial
- A review of smart homes - Present state and future challenges (Comput. Methods Programs Biomed.)
- A survey on fall detection: Principles and approaches
- iFall: An android application for fall monitoring and response (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
- Fall detection system using Kinect’s infrared sensor (Journal of Real-Time Image Processing)
- Comparison of low-complexity fall detection algorithms for body attached accelerometers. (Gait & Posture)
Their papers
- Fall detection using ceiling-mounted 3D depth camera (2015) — 98 citations
- Human fall detection on embedded platform using depth maps and wireless accelerometer (2014) — 618 citations