Designing a multimedia conversation aid for reminiscence therapy in dementia care environments
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Providing good memory cues for people with episodic memory impairment
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Lifelogging memory appliance for people with episodic memory impairment
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Cell phone software aiding name recall
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Supporting People with Dementia Using Pervasive Health Technologies
Supporting People with Dementia Using Pervasive Health Technologies
SenseCam: a retrospective memory aid
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
A real-time life experience logging tool
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
MemoryBook: generating narratives from lifelogs
Proceedings of the 2nd workshop on Narrative and hypertext
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With age, injury, or disease, human memory can be significantly impaired. Current coping strategies range from simple aids such as post-it notes and calendars to, more recently, assistive devices which attempt to provide reminders at appropriate times, capture details of important events, or aid with performing complex tasks. In this paper we extend the state of the art by reporting on a pervasive system designed to 'orientate' a person with memory problems by reminding them in real time of details and personal memories of their surroundings. We describe a three-level architecture, consisting of a novel wearable sensing device, mobile phone, and Internet service, where each level is less constrained in terms of energy and offers greater computational capability. This kind of distributed architecture for a memory aid has not been reported before. The wearable device typically draws 38.5mA of current, allowing a full day's operation on a single charge. We demonstrate the operation of the system, which successfully identifies the faces of those nearby and shows their names on the mobile phone.