1. User-configurable in-home assistive monitoring aka "Power to the people"
Possible fall detected
Frank Vahid, UCR

2. User-configured sensors

3. User-configured cameras, viewing, sharing

4. Graphical language for user configuration of notifications
Success

5. Video: What about privacy?

6. Fall detection accuracy
Provide sufficient privacy?
Fall detection accuracy
Yes No
n/a

7. Current research challenges
Configurable and/or ultra-efficient algorithms (in-cam or in-block) for
Privacy-enhancements
Categorization of falls, daily activities, etc.
Sound/speech processing
Algorithms that adapt to:
Num cams, cam angles, added sensors, privacy enhancements, user requirements, …
Supporting configuration tools