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 remote 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.
Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., Satyanarayanan, M.
Proceedings of the Twelfth International Conference on Mobile Systems, Applications and Services (MobiSys 2014), Bretton Woods, NH, June 2014