A new system to alert of domestic accidents for the elderly and disabled looks to self-sufficient digital monitoring, linked to SMS warnings. "Eldercare" has been developed by a team at the Universidad Rey Juan Carlos of Madrid, which proposes to use artificial vision to detect falls or fainting when the elderly are alone at the residence. Automatic detection triggers an alarm for the system to send SMS-MMS to relatives or a healthcare emergency center. The system aims to shorten response times eliminating the risk associated with slow reactions. Such a solution poses technological, access, and severe privacy related challenges, which will require careful attention.

The image above illustrates the low-tech end of the spectrum. It is a sign at my grandparent's home reminding them what to do before they leave the house. Now in their 90´s and 80´s respectively, they still can enjoy a great deal of autonomy. But mistakes associated with age are becoming more and more frequent. Their daughters as part of their regular visits and calls decided to place the reminding sign on the kitchen door: Before leaving home, pick up the keys, turn off stoves, and close faucets.

Both approaches are valid, and in fact complementary. They offer a range of possibilities to approach a broad range of risks, which should not be dissociated. However, what they have in common might be the essential departing point for tools targeted to elderly, disabled and other at-risk communities: active and reliable strong social networks. Fostering them is the foundation for preventive and emergency measures.