Obesity, depression, stroke, falls, cardiovascular and musculoskeletal disease are some of the biggest health issues and fastest-rising categories of health-care costs. The financial expenditure associated with these is widely regarded as unsustainable and the impact on quality of life is felt by millions of people in the UK each day. Smart technologies can unobtrusively quantify activities of daily living, and these can provide long-term behavioural patterns that are objective, insightful measures for clinical professionals and caregivers.
To this end the EPSRC-funded "Sensor Platform for HEalthcare in Residential Environment (SPHERE)" Interdisciplinary Research Collaboration (IRC) has designed a multi-modal sensor system driven by data analytics requirements. The system is under test in a single house, and will be deployed in a general population of 100 homes in Bristol (UK). The data sets collected will be made available to researchers in a variety of communities.
Data is collected from the following three sensing modalities:
- wrist-worn accelerometer;
- RGB-D cameras (i.e. video with depth information); and
- passive environmental sensors.
With these sensor data, we can learn patterns of behaviour, and can track the deterioration/progress of persons that suffer or recover from various medical conditions. To achieve this, we focus activity recognition over multiple tiers, with the two main prediction tasks of SPHERE including:
- Prediction of Activities of Daily Living (ADL) (e.g. tasks such as meal preparation, watching television); and
- Prediction of posture/ambulation (e.g. walking, sitting, transitioning).
Reliable predictions of ADL allows us to model behaviour and of residents over time, e.g. what does a typical day consist of, what times are particular activities performed etc. Prediction of posture and ambulation will complement ADL predictions, and can inform us about the physical well-being of the participant, how mobile/responsive is the participant, how active/sedentary, etc.
http://irc-sphere.ac.uk/sphere-challenge/home
Discovery Challenge Chairs
Elio Masciari, ICAR CNR, Italy
Alessandro Moschitti, University of Trento, Italy
Sphere Challenge Chairs
Niall Twomey - niall.twomey at bristol.ac.uk
Tom Diethe - tom.diethe at bristol.ac.uk
Meelis Kull - meelis.kull at bristol.ac.uk
Peter Flach - peter.flach at bristol.ac.uk
Ian Craddock - ian.craddock at bristol.ac.uk
Prizes will be awarded to the first three winners
- 1,000 being awarded to the winner;
- 600 to the runner up; and
- 400 to the second runner up.
Solution Proposal Deadline: June 19 2016 24:00 - As long as it is June 19 anywhere in the world (Time Zone in Midway, US Minor Outlying Islands, UTC-12)
Paper submission deadline: July 8 2016 (Selected Teams will be invited to submit their solution to the challenge workshop)
Notification: Aug 8 2016
Conference: September 19-23