1 / 5

Digital Wellbeing, Living Laboratory

Digital Wellbeing, Living Laboratory. Healthy Computing Workshop 2011 Christian Chislett. Living Laboratory– Christian Chislett. Research Assistant for the Digital Wellbeing project Living Laboratory – build up a network of sensor technologies and analyse the results

tiger-glass
Télécharger la présentation

Digital Wellbeing, Living Laboratory

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Digital Wellbeing, Living Laboratory Healthy Computing Workshop 2011 Christian Chislett

  2. Living Laboratory– Christian Chislett • Research Assistant for the Digital Wellbeing project • Living Laboratory – build up a network of sensor technologies and analyse the results • Aim – to improve and develop sensors to be used in assisted living • PhD – (Remote healthcare security)

  3. Activity Recognition with an accelerometer • Aim – to recognise different scenarios such as; walking, sitting down and falling • Texas chronos watch • A 3-axis accelerometer • Wirelessly transmits data to a computer/laptop • Fast Fourier Transformations

  4. Results • Can differentiate between walking and falling • Sitting and falling problematic • Needs a different approach such as; axis correlation, neural nets or combination of axes • Paper published - (Pervasive Health Conference, 2011, Dublin) Falling Sitting

  5. Current work • A limitation of the described method is the unknown orientation of the watch • Build a gyro-free inertial measurement system • Enable us to correctly identify the Z axis • Possibly track the user and monitor activity/inactivity

More Related