Wearing Intelligence On Your Sleeve - Part 1

Annika Englund
24 May 2017

This story in three parts follows wearables startup Bellpal and AI-startup Imagimob in their collaborative efforts to get Bellpal’s smartwatch for the elderly, from prototype to the finished product on the market.

A couple of years ago, Bellpal founder David Ziemsky’s elderly father started to become ill and wobbly. The fact that David couldn’t check in on his dad as often as he would’ve liked caused a great deal of stress. What if dad tripped and fell when no-one was around? David’s grandmother Irene actually did fall and had to spend two whole days, alone, in a bathtub. Finally David was so worried that he called the police who picked her up and rushed her to the hospital. She survived but the recovery took time.

There are millions and millions of families in the western world in the same situation.

Most people, young or old, want to be independent and not rely on others to take care of them. It’s a matter of life quality. “I wanted to allow people to monitor an elderly individual’s situation from a distance, without being overly intrusive” David says. That is why I founded Bellpal to develop a hardware device with a design that looks like a normal and elegant watch.”

It would be pointless to make a device which can only sense if something has already happened. So the goal is to make a smartwatch which will alert family or other caregivers ahead of time in order to take steps to prevent an incident like a serious fall.

To make the device smart Bellpal and Imagimob has joined together to implement Imagimob’s AI-software SensorBeat into the smartwatch’s hardware. Imagimob’s motion intelligence software is specifically developed to understand motion and at the same time reduce battery consumption to a minimum. It is designed to work on small devices like smartwatches, so it should be a perfect match.

The first step in the project was to teach SensorBeat to understand normal behaviour patterns i.e., how a person is sitting, moving around, and walking. The second step has been to train SensorBeat to recognize motion irregularities – such as a fall. To capture the real world data that SensorBeat needed, the Bellpal-team invited healthy seniors to fall on soft mattresses while wearing Imagimob’s data capture device. This device uses a mobile app to capture the sensor data from the accelerometer and a synchronised video.

 The sensor data from the different falls is, as we speak, being analysed to create various AI-patterns which scan for deviations.The final step will be to configure and implement the software into Bellpal’s smartwatch.

And yes - the smartwatch will also be able to tell the time.

In part two we will show the real product in action! Follow us on Twitter, Facebook and on our blog until then!

Curious? Demo? Get in touch with us!