This paper describes the Care4Balance (C4B) system for better facilitating communication and task coordination between formal and informal caregivers, and older adults as care receivers. Field-tests with older adults (n=3) and user studies (n=9) were conducted to evaluate the system and the perceived usefulness of the system. A review of related work and the study findings show that (1) the perceived benefit for the older target group was very low. The main motivation for using the system was triggered by the perceived benefit for their closest informal caregivers; (2) Informal caregivers do not regularly seek help for themselves, and (3) Introducing a C4B-like system is more than solving hardware and usability issues. The study suggests that more flexibility in the organizational structure of formal care (in The Netherlands and beyond) is needed.
This paper describes the Care4Balance (C4B) system for better facilitating communication and task coordination between formal and informal caregivers, and older adults as care receivers. Field-tests with older adults (n=3) and user studies (n=9) were conducted to evaluate the system and the perceived usefulness of the system. A review of related work and the study findings show that (1) the perceived benefit for the older target group was very low. The main motivation for using the system was triggered by the perceived benefit for their closest informal caregivers; (2) Informal caregivers do not regularly seek help for themselves, and (3) Introducing a C4B-like system is more than solving hardware and usability issues. The study suggests that more flexibility in the organizational structure of formal care (in The Netherlands and beyond) is needed.
We present a method for measuring gait velocity using data from an existing ambient sensor network. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches that use specific sensors or sensor configurations our method imposes no constraints on the elderly. We studied different probabilistic models for the description of the sensor patterns. Experiments are carried out on 15 months of data and include repeated assessments from an occupational therapist. We showed that the measured gait velocities correlate with these assessments.