Home Lab - Context-Aware Fall-Risk Assessment at Home


For the elderly, falls are among the most frequent causes of severe injuries or even death. Therefore it is highly desirable to develop methods for early recognition. Numerous indicators have been proposed and thoroughly validated, that allow medical staff to identify persons at a high risk of falling. However, these indicators suffer from pragmatic drawbacks impeding their widespread application. To overcome this, we present the concept of a context-aware system, using low-cost accelerometers to collect motion data at peoples homes, from which a fall-risk prognosis is computed automatically. The underlying design principle can be generalized to other medical settings, opening up a promising field for the application of context-based technologies.

Extracted Key Phrases

Cite this paper

@inproceedings{Bienk2011HomeL, title={Home Lab - Context-Aware Fall-Risk Assessment at Home}, author={Stefan Bienk}, year={2011} }