About
This app provides a family care and connectivity solution to monitor senior wellness without privacy invasion. It uses machine learning and sensors to detect potential falls, wandering, and changes in routine, alerting designated contacts for timely assistance.
What's New in Resilient Life
1.3
July 8, 2024
+ Bug Fixes + Performance Improvements
Developer apps
FAQ
What is Resilient Life?
Resilient Life is a family care and connectivity solution designed to monitor the wellness of seniors without invading their privacy. It uses sensors and machine learning to detect potential health or behavioral events and alert designated contacts.
How does Resilient Life detect falls?
The system uses motion sensors and optional Vayyar advanced imaging radar to monitor for inactivity or sudden changes in movement that may indicate a fall. Alerts are then sent to your Trusted Circle™.
Does Resilient Life require wearables or cameras?
No, Resilient Life is designed to be non-privacy invading. It utilizes sensors placed around the home and does not require any wearables for the user or cameras.
Can I customize who receives alerts from Resilient Life?
Yes, you can create and manage a Trusted Circle™ of up to 10 people who will receive SMS text alerts about incidents that require immediate attention.
What kind of sensors are included with the Resilient Life Pack?
The Resilient Life Pack includes a Smart Home Center gateway, two Entry Sensors for doors and cabinets, three Motion Sensors for fall and wandering detection, and one portable Smart Button.
Is Resilient Life available on Android devices?
Based on the provided data, Resilient Life is optimized for iPhone and iPad. Further information on Android compatibility would be needed.
How often is Resilient Life updated?
The latest version of Resilient Life is 1.3, and it was last updated on July 8, 2024. This indicates a recent update frequency.
What is the user sentiment for Resilient Life?
Resilient Life has a perfect rating of 5.0 stars from 1 rating, suggesting very positive initial user sentiment.
