1. REMEM LIFELOGGING LIFESTYLE - SAFETY - HEALTH Martin Cowell, Colin Ho, Alexander Tyler, Angie Wang

2. MISSION STATEMENT PROBLEM : Many people suffer from memory impairment  44 million people with dementia worldwide  Memory recall dependent on temporal/spatial multi-sensory cues  Difficult to recall events with accuracy due to missing contextual details  Written journals require laborious user input/photo journals only visual  How does one quickly/efficiently search for a “memory”? BENEFIT PROPOSITION : Make recording/recalling one’s life simple, easy, & useful  Passively collect user’s daily narrative for memory augmentation  Intuitively & efficiently navigate data that contextualizes memories

3. TARGET USER GROUPS  Individuals with memory impairment: (Dementia, Alzheimer’s, Traumatic Brain Injury, Amnesia, etc.)  Require means of improving/compensating memory to conduct daily activities without requiring user recall  Quantified Self: Individuals wanting to self-track to identify/improve lifestyle behaviors  Need ability to track life in high fidelity & understand correlations between activities/behaviors and health  Others: people concerned with safety, people desiring “external memory bank” to help contextualize memory/aid recollection

4. CONCEPT ORIGINATION  Capture memories via photos/contextual clues  Give contextual relevance using biometrics (location, events)  Quickly/easily search auto-annotated records for enhanced memory retrieval OUR PROPOSAL  Add biometric context to memory  Smart image capture (variable frequency/fidelity dependent on environment context via sensors)

5. PRELIMINARY DEVICE DESIGN  Contextual/physiological sensors to aid in recall  Camera, Microphone, Heart Rate Monitor, EEG, GPS, Temperature  Automatically identify and annotate memory log  UI to display timeline of events EEG Live Upload

6. QUESTIONS & CONCERNS Public privacy / data security State / federal laws Personal data security Demand & user adoption (Core functionality/form factor)

7. EXISTING SOLUTIONS  Primarily focused on capturing image data (30 sec. intervals) without good automatic parser  Insufficient to fully contextualize memories  Large amounts of unannotated data (hard to search) AUTOGRAPHERNARRATIVE CLIPSENSECAM OUR PROPOSAL  Add biometric context to memory  Smart image capture (variable frequency/fidelity dependent on environment context via sensors)