Mr Phil Heslop

Phil left the BESiDE team in 2016 to join the Open Lab team at the University of Newcastle.

Researcher

My research interests include Data Visualisation – the presentation of data for dissemination or analysis with particular focus on audience, interactivity and clarity, often using 3D computer Graphics and Virtual Reality. I am also interested in using sensors in Smart environments for activity recognition, tracking and interaction. I have worked on various projects, such as MESSAGE (visualising transport data) that have embodied these aspects.

Skills: Data Visualisation, Sensor Programming, Interaction Design, 3d Graphics

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Contact Details
Email

Philip.heslop@ncl.ac.uk

  • 23
    Sep

    Platform for data analysis within BESiDE

    Within BESiDE, researchers are using a workflow based approach to analyse the data collected from the sensing devices deployed in the care homes. Accelerometers are being used to measure the physical activity of individual participants within multiple care homes. The participants from the care homes are provided with accelerometers and data is being collected from registered participants across various care homes.

  • 06
    Aug

    Indoor Location: Ground Truth

    The BESIDE project is building an understanding of the behaviour of residents in care homes. Part of this understanding requires a record of the location of residents as they move around the care home. The BESIDE team are investigating various technologies to provide this indoor location, but how do we evaluate the accuracy of these technologies? Some method of comparing the location data with a known "ground truth" is required.

  • 12
    Jul

    First trials of BESiDE Indoor Location Sensor

    The BESiDE technology team developed a sensing and information management infrastructure for recording location and activity data. Devices were customised to monitor the location and activity of residents inside care homes. To solve the problem of getting accurate location information, the application of two different technologies: WiFi and Bluetooth were considered.  We ruled out ultrasound due to the limiting factors of size and battery requirements.