Previous coverage on this topic
From the horse’s mouth
Previously, I had given some space to an iOS mobile-platform app written in conjunction with Doncare Community Services in Doncaster to provide domestic-violence survivors access to the necessary information. This app provide the one-stop information shop functionality but could be quickly deleted from a mobile device if the user is in danger of ending up in trouble for seeking help, which can happen in an abusive relationship.
For those of you who are based in the UK, this has recently become a cause celebre thanks to it being woven in to BBC’s “The Archers” radio serial which highlighted an abusive relationship that was taking place in to one of its storylines.
But another project has been finished where a wearable is used as a tool for summoning help in these situations. This is in the form of “Band Aid” which is an app that works with the Microsoft Band to detect when the wearer is under undue stress and invite them to have the paired smartphone call the national emergency-services number or a user-determined help number like a trusted friend or domestic-violence helpline. The user can override the software to bypass stress-sensing during exercise or similar situations.
There is further development taking place with this software such as working alongside support and refuge centres for domestic and relationship violence sufferers. There is also some work taking place with “social listening” and machine-learning to identify the behaviour of one who is under threat.
The “Band Aid” project has been developed as part of the “HackForHer” hackathon which is a programming challenge for software solutions that can help and enable women. Here, these kind of hackathons can flesh out ways that technology can help particular user groups in particular situations.
Personally, I would like to see this program be “taken further” to facilitate help in other situations like independent ageing (fall detection), living with chronic illnesses with a high fall risk like diabetes or epilepsy, or living with mental illnesses. The sensors in wearables like the Microsoft Band, the Apple Watch and the Android Wear smartwatches are able to monitor body signs along with the wearable’s gyroscope sensor being able to detect falls and similar situations while machine learning that is part of the software can identify what is normal compared to what is abnormal.
Here, it could detect if one is about to have a diabetic coma or epileptic seizure, or needs help because they as an old person fell. Having this kind of software work with the “Internet Of Everything” can work well for identifying risk-taking behaviour such as a person who is living alone not entering the kitchen to feed themselves or making sure that a person has taken medicines that they have to take.
What is happening is that it is the first time devices in the platform wearables or Internet-Of-Things class, along with the concept of machine learning, are being exploited as a personal-welfare device rather than as a wellness or “keep-fit” device. Here, this avoids the need to wear extra clutter to achieve a goal of ideal personal safety or health.