We’ve all seen the devastating effects of falls on older adults – injury, social isolation and too often loss of life. There is an epidemic of falls affecting one in three elderly people but this situation could be significantly improved with early detection and intervention to prevent falls before they happen.
What it does
The Equilibrium platform acquires sensor data from wearables and mobile devices, analyzes in the cloud and then reports to help prevent falls with timely information. Our hackathon project has laid the groundwork for a voice interface with devices such as the Amazon Echo to make it as easy as possible for older adults to access information on their fall risk factors and how to reduce their fall risk. The goal is to allow a user to ask for their fall risk and then enter into a triage-type dialogue with the voice interface in order to address any potential risk factors through suggested actions on the user’s part.
How we built it
We used a shared Google doc with the outline feature to build the business rules (indents are used for pseudocode). We charted sample Equilibrium Scores (EQ) using Highcharts. We began implementing Artificial intelligence in API.AI.
Challenges we ran into
We are considering the challenge of the user experience, and how to make it interesting
Accomplishments that we're proud of
We are proud to have established the business rules and scripts (English dialog scripts) for developers to implement a voice interface to triage fall risk by seniors. The scripts are a decision tree of if-then questions, to be implemented with Amazon Echo.
What we learned
There are useful tools such as api.ai which will enable the technology
What's next for Agewell's Revolutionary Fall Prevention Platform
Phase 2: Conduct focus group to evaluate product features, benefits and business model
Phase 3: Incorporate logic and stored data into language interface device such as the Amazon Echo