Towards Wearable Cognitive Assistance

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 cloud processing to perform real-time scene interpretation. The system architecture is multi-tiered. It o ers 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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2013
Accession Number
ADA591470

Entities

People

  • Kiryong Ha
  • Mahadev Satyanarayanan
  • Padmanabhan Pillai
  • Wenlu Hu
  • Wolfgang Richter
  • Zhuo Chen

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Assistive Technologies
  • Brain Injuries
  • Cloud Computing
  • Cognition
  • Cognitive Workload
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Computers
  • Energy Consumption
  • Feature Extraction
  • Hypervelocity Flow
  • Machine Learning
  • Measurement
  • Object Recognition
  • Operating Systems
  • Wearable Technology

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.