University of Bristol

Remote Pulmonary Function Testing using a Depth Sensor

We propose a remote non-invasive approach to Pulmonary Function Testing using a time-of-flight depth sensor (Microsoft Kinect V2), and correlate our results to clinical standard spirometry results. Given point clouds, we approximate 3D models of the subject’s chest, estimate…

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

Generic motion based object segmentation for assisted navigation

CASBliP – Computer Aided System for the Blind In the CASBliP project, a robust approach to annotating independently moving objects captured by head mounted stereo cameras that are worn by an ambulatory (and visually impaired)…