Date 05/24/17

Wearing Intelligence On Your Sleeve

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 a fall-detection AI-model into the smartwatch’s hardware. Imagimob’s AI model 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 the model to understand normal behaviour patterns i.e., how a person is sitting, moving around, and walking. The second step has been to train the moel to recognize motion irregularities – such as a fall. To capture the real world data that the model 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.


LATEST ARTICLES
arrow_forward
Date 11/17/22

An introduction to Sound Event Detection (SED)

This article is an introduction to Sound Event Detection (SE...

Date 11/14/22

Imagimob condition monitoring demo on Texas Instru...

Imagimob has an AI demo on the Texas Instruments stand at th...

Date 11/01/22

Alert Vest – connected tinyML safety vest by Swanh...

Date 10/21/22

Video recording from tinyML AutoML Deep Dive

Date 10/19/22

Edge ML Project time-estimates

Date 10/05/22

An introduction to Fall detection - The art of mea...

Date 04/20/22

Imagimob to exhibit at Embedded World 2022

Date 03/12/22

The past, present and future of edge ML

Date 03/10/22

Recorded AI Tech Talk by Imagimob and Arm on April...

Date 03/05/22

The Future is Touchless: Radical Gesture Control P...

Date 01/31/22

Quantization of LSTM layers - a Technical White Pa...

Date 01/07/22

How to build an embedded AI application

Date 12/07/21

Don’t build your embedded AI pipeline from scratch...

Date 12/02/21

Imagimob @ CES 2022

Date 11/25/21

Imagimob AI in Agritech

Date 10/19/21

Deploying Edge AI Models - Acconeer example

Date 10/11/21

Imagimob AI used for condition monitoring of elect...

Date 09/21/21

Tips and Tricks for Better Edge AI models

Date 06/18/21

Imagimob AI integration with IAR Embedded Workbenc...

Date 05/10/21

Recorded Webinar - Imagimob at Arm AI Tech Talks o...

Date 04/23/21

Gesture Visualization in Imagimob Studio

Date 04/01/21

New team members

Date 03/15/21

Imagimob featured in Dagens Industri

Date 02/22/21

Customer Case Study: Increasing car safety through...

Date 12/18/20

Veoneer, Imagimob and Pionate in joint research pr...

Date 11/20/20

Edge computing needs Edge AI

Date 11/12/20

Imagimob video from tinyML Talks

Date 10/28/20

Agritech: Monitoring cattle with IoT and Edge AI

Date 10/19/20

Arm Community Blog: Imagimob - The fastest way fro...

Date 09/21/20

Imagimob video from Redeye AI seminar

Date 05/07/20

Webinar - Gesture control using radar and Edge AI

Date 04/08/20

tinyML article with Nordic Semiconductors

Date 02/18/20

What is tinyML?

Date 12/11/19

Edge AI for techies, updated December 11, 2019

Date 12/05/19

Article in Dagens Industri: This is how Stockholm-...

Date 09/06/19

The New Path to Better Edge AI Applications

Date 07/01/19

Edge Computing in Modern Agriculture

Date 04/07/19

Our Top 3 Highlights from Hannover Messe 2019

Date 03/26/19

The Way You Collect Data Can Make or Break Your Ne...

Date 03/23/18

AI Research and AI Safety

Date 03/11/18

What is Edge AI?

Date 01/30/18

Imagimob and Autoliv demo at CES 2018

Date 05/24/17

Wearing Intelligence On Your Sleeve

LOAD MORE keyboard_arrow_down