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Found 4 papers, 0 papers with code
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data
In this work we first introduce a measure to quantitatively assess the subtlety of human movements that are underlying activities of interest--the motion subtlety index (MSI)--which captures local pixel movements and pose changes in the vicinity of target virtual sensor locations, and correlate it to the eventual activity recognition accuracy.
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
The lack of large-scale, labeled data sets impedes progress in developing robust and generalized predictive models for on-body sensor-based human activity recognition (HAR).
RGB-Guided Hyperspectral Image Upsampling
On the contrary, latest imaging sensors capture a RGB image with resolution of multiple times larger than a hyperspectral image.
Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation
Depth maps captured by consumer-level depth cameras such as Kinect are usually degraded by noise, missing values, and quantization.
