NeuroCognitive Patterns

Abstract

Neurocognitive Patterns (NCP) is a new type of neurocognitive architecture, based on an interaction paradigm that mirrors how humans naturally interact with each other and their environment. NCP will provide an innovative brain-computer interface (BCI) for a prosthetic arm that combines recent advances in identifying the neural signals of motor intent with technology that exploits environmental and contextual information to provide likely interpretations for those neural signals. Innovative models for event understanding, object detection, and classification were needed in order to help define the environment. Essentially, the interface will detect and act on user intent. This will result in a new generation of prosthetics that will require dramatically less attention from the operator, freeing the operator to attend to other mission-important tasks.

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Document Details

Document Type
Technical Report
Publication Date
Oct 28, 2016
Accession Number
AD1020928

Entities

People

  • Daniel R. Ward
  • Joseph W Bennett
  • Kapil Katyal
  • Lisa Lucia
  • Webb Stacy

Organizations

  • Aptima (United States)

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Cameras
  • Computational Science
  • Computer Vision
  • Event Detection
  • Identification
  • Machine Learning
  • Models
  • Object Recognition
  • Operating Systems
  • Point Clouds
  • Probabilistic Models
  • Probability
  • Recognition
  • Robots
  • Training
  • Visual Servoing

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neuroscience
  • Systems Analysis and Design