Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications
By Enea Cippitelli, Samuele Gasparrini, Ennio Gambi, Susanna Spinsante, Jonas Wåhslén, I. Orhan, T. Lindh. 2015
38 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Surgery
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “The TST fall detection dataset [109] contains eleven different subjects performing falling activities and activities of daily living in a variety of scenarios; The TST TUG dataset [102] contains twenty different individuals standing up and walking around; and the TST intake”
- A survey of depth and inertial sensor fusion for human action recognition (2015, methodology): “A more accurate time synchronization method was proposed in [20] by estimating the total delay occurring in the link between the camera and the PC.”