Home Activity Monitoring Study using Visual and Inertial Sensors
The objective of this project is to present a comparative study towards activity monitoring using these visual and accelerometer sensors in daily living scenarios.
RGB-D Tracking: Depth Scaling Kernelised Correlation Filters DS-KCF
Depth Scaling Kernelised Correlation Filters DS-KCF is an efficient Real-Time tracker based on RGB-D data fusion
Online quality assessment of human movements from Kinect skeleton data
The objective of this project is to evaluate the quality of human movements from visual information which has use in a broad range of applications, from diagnosis and rehabilitation to movement optimisation in sports science….
SPHERE – a Sensor Platform for HEalthcare in a Residential Environment
SPHERE is a multimodality sensing platform, based on low-cost devices aiming at efficiently tackling the problem of healthcare monitoring at home
Object Modelling From Sparse And Misaligned 3D and 4D Data
Object modelling from 3D and 4D sparse and misaligned data has important applications in medical imaging, where visualising and characterising the shape of, e.g., an organ or tumor, is often needed to establish a diagnosis…