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Situational-Awareness Fall-Prevention Tablet App - updated (adding a prototype slides)

Our tablet App prevent falls by continuously monitoring the surrounding environment for any fall hazards

Photo of Samer Charifa
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Who is your idea designed for and how does it enable older adults to live their best possible life by preventing falls?

Tablet App, based on our patent-pending Automated Fall Assessment System (AFAS), is designed for seniors and their caregivers to: 1. Monitor their surroundings and warn them of any potential fall hazards 2. Give a customized fall-prevention monitoring experience depending on their assessed risks and needs. 3. Provide expert recommendations for ways to improve their home safety. For example this app will detect if there is a loose cord which could be a potential fall hazard

One in three adults over the age of 65 fall each year, making falls the leading cause of death due to injury for older adults. For the growing $222 billion long-term care (LTC) industry, facility operators are struggling to provide quality care and residences while managing increasing resident acuity and increasing fall rates. In the U.S. alone, these falls cost operators $1.8 billion annually,  and contribute to lasting indirect revenue loss from damaged reputations. To help solve this problem, Luvozo developed the Automated Fall Assessment System (AFAS) in NSF SBIR Phase I award #1548784, to address the 31% of preventable falls that are attributed to environmental hazards such as floor clutter, rugs, poor lighting, and low transition contrast. The system consists of an inexpensive 3D sensor, computer vision algorithms, and assessment models to detect and evaluate hazards that commonly cause a fall. We tested the system against a panel of physical and occupational therapists and found that AFAS identified more hazards than the average of the experts. 

What early, lightweight experiment might you try out in your own community to find out if the idea will meet your expectations?

We would like to pilot test test our current and future tablet-based solution in senior living and skilled nursing communities to confirm usability and track benefits from continuous operation.

What skills, input, or guidance from the OpenIDEO community would be most helpful in building out or refining your idea?

We would like the OpenIDEO community to help us refine our user experience, design, and technology based on field testing. Our AFAS prototype was originally designed to operate with SAM, our service robot for long-term care environments. We would like to use OpenIDEO resources to transition to a tablet-based solution, which would make this useful tool available to a much wider group.

How long has your idea existed?

  • 4 months - 1 year

This idea emerged from

  • A group brainstorm

Tell us about your work experience:

Our talented team has backgrounds robotics, computer vision and software in a variety of industries. We also have collaborated with senior living communities for over two years. In addition we have consulted with industry-leading physical therapists who specialize in fall prevention strategies.

How would you describe this idea while in an elevator with someone?

Imagine your parents live alone and you want to make sure that house is fall-proof. Our App can help you doing that. Our App uses our patented algorithm to check their house for any reason that could cause falls.

How does your idea demonstrate our Criteria of Affordability?

As a downloadable app the cost is a fraction of purchasing or renting equipment or hiring a home fall assessment professional to visit your home

How does your idea demonstrate or plan to demonstrate scalability?

We started our idea in skilled nursing and assisted living communities using a mobile robotic platform and how we are scaling this idea into an App which will run on a tablet. We are planning to partner with hospitals to offer their app to patients returning home or their caregivers.

How do you plan to measure the impact of your idea?

By reducing falls in skilled nursing and assisted living communities. This will be measured on a monthly and yearly basis. And we are confident that our device will reduce the number of falls.

What are your immediate next steps after the challenge?

We want to finalize the last part of development for our App, and start the commercialization process.

Attachments (1)

AFASResultsSummary.pdf

A white paper describing our technology.

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Photo of Kate Rushton
Team

Hi @Samer Charifa

Thank you for all your hard work in this challenge and dedication.

All of the ideas posts are locked but the comments section is still open, so please feel free to look at other ideas and comment on them, seek feedback on your idea etc.

I know I have asked many ideators this question but I am asking again as some ideas pivoting in the challenge. Would you say your idea is Most Viable or Most Promising? How would the incentives associated with that Award (Most Viable/Most Promising) be helpful for you?

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