|
CMU-CS-13-134
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-13-134
Towards Wearable Cognitive Assistance
Kiryong Ha, Zhuo Chen, Wenlu Hu, Wolfgang Richter,
Padmanabhan Pillai*, Mahadev Satyanarayanan
December 2013
CMU-CS-13-134.pdf
Keywords:
Mobile computing, cloud computing, Google Glass, virtual machines, system
architecture, cloudlets, face detection, face recognition, object recognition,
OCR, activity recognition, motion classification, context awareness, graceful degradation
We describe the architecture and prototype implementation of an assistive system based on Google Glass devices for users in cognitive decline. It combines
the first-person image capture and sensing capabilities of Glass with cloud
processing to perform real-time scene interpretation. The system architecture is
multi-tiered. It offers tight end-to-end latency bounds on compute-intensive operations, while addressing concerns such as limited battery capacity and limited processing capability of wearable devices. The system gracefully degrades services in the face of network failures and unavailability of distant architectural
tiers.
25 pages
*Intel Labs
|