PebbleTrek

Inspiration

• In 2013, 2.5 million nonfatal falls among older adults were treated in emergency departments. [1]
• More than 734,000 of these patients were hospitalized. [1]
• This issue is not easily preventable, however we can help by detecting falls to get help faster.

Target groups

• Elderly people who are vulnerable to falls but still want to be active.
• Concerned children, who want to be reassured of their loved ones' safety.
• Insurance companies, who want to maximize their customer relations.

What it does

PebbleTrek constantily monitors the motion from your Pebble and recognizes falls when they occure. When a fall is detected a SMS notifcation is sent to an emergency contact your choosing, which includes a Google Maps link to your location.

The system is incredibly easy to set up. Designed for seniors in mind.

How we built it

We use the Pebble C SDK and PebbleKit JS and Twolio SMS API together with the IDE PebbleCloud.

Challenges we ran into

• Callibration of the fall detection algorithm for maximum reliability and minimum false positive.
• Elimating the use of an additional companian app and still providing the same functionality.

What we learned

• Use the many aspects of the Pebble SDK in both C and JavaScript.
• Use Twolio API

What's next for PebbleTrek

• Further improve fall detection algorithm based on user data
• Bringing it the Pebble App Store

Sources

[1] Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Web–based Injury Statistics Query and Reporting System (WISQARS) [online].

Built With

• c
• css
• html5
• javascript
• pebble