Prof. Paul Watson

Co-Investigator

My main interest is in scalable information management with a current focus on Cloud Computing. With BESiDE we are applying this to the analysis of sensor gathered data.

pwatson's picture
Contact Details
School of Computing Science

Newcastle University
Newcastle Upon Tyne
United Kingdom
NE1 7RU

  • BESiDE Method for Sensor-Based Analysis of Building Use in Care Homes

     

    The BESiDE team have developed a system for capturing quantitative data about how older adults utilise the indoor spaces in residential care homes. The system uses sensors and smart devices to collect data about residents’ movement and activities, and was successfully used in multiple studies in a number of homes.

  • Prof. Paul Watson recieves Jim Gray eScience Award

    Each year, Microsoft Research presents the Jim Gray eScience Award to a researcher who has made an outstanding contribution to the field of data-intensive computing. The award—named for Jim Gray, a Technical Fellow for Microsoft Research and a Turing Award winner who disappeared at sea in 2007—recognizes innovators whose work truly makes science easier for scientists.

  • 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.

  • 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.

  • 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.