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…

Estimating Visual Attention from a head-mounted IMU

We are developing  methods for the estimation of both temporal and spatial visual attention using a head-worn inertial measurement unit (IMU). Aimed at tasks where there is a wearer-object interaction, we estimate the when and…

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

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

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