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

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Presentation transcript:

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

User-configured sensors http://www.youtube.com/watch?v=WkRWhq7FAcA

User-configured cameras, viewing, sharing http://www.youtube.com/watch?v=CsI4prVikgA

Graphical language for user configuration of notifications Success http://www.youtube.com/watch?v=eUM2KXAN0Ro

Video: What about privacy? www.youtube.com/watch?v=BlYLlDclZ0Q

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

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