In this paper we describe the preliminary findings of two-year study that attempted to map the mobility of our oldest citizens using activity monitoring and location-aware technologies. We recruited a group of 100 adults aged between 72 and 92 years old, drawn from a 25 year longitudinal cohort, and collected lifestyle, nutrition, health and social engagement data. We also fitted a subset of the group with accelerometers and location-based tracking devices and asked them to wear these for a week in order that we could generate accurate, live mobility data and assess these data against self-reports. We are now using this data to describe the relationship between mobility, activity and physical and mental well-being, but in this preliminary paper, we outline some of the main challenges we encountered when trying to use these ‘whole body’ technologies to determine mobility.
|Publication status||Published - 2008|
|Event||CHI 2008 (ACM Conference on Human Factors in Computing Systems) - Boston, MA., USA|
Duration: 1 Apr 2008 → …
|Conference||CHI 2008 (ACM Conference on Human Factors in Computing Systems)|
|Period||1/04/08 → …|