Towards wearable cognitive assistance

Kiryong Ha; Zhuo Chen; Wenlu Hu; W. Richter; Padmanabhan Pillai; Mahadev Satyanarayanan

doi:10.1145/2594368.2594383

Abstract

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.

Keywords

UnavailabilityComputer scienceWearable computerArchitectureLatency (audio)Low latency (capital markets)Systems architectureCognitive systemsWearable technologyFace (sociological concept)Embedded systemHuman–computer interactionCognitionComputer networkTelecommunicationsEngineering

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Publication Info

Year: 2014
Type: article
Pages: 68-81
Citations: 453
Access: Closed

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APA Style

                            
                                    Kiryong Ha, 
                                
                                    Zhuo Chen, 
                                
                                    Wenlu Hu
                                
                                et al.
                            
                            (2014). 
                            Towards wearable cognitive assistance. 
                            
                            , 68-81.
                            https://doi.org/10.1145/2594368.2594383

Identifiers

DOI: 10.1145/2594368.2594383