Skip to content
VuFind
    • Hungarian
    • English
Advanced
  • Enabling the control of roboti...
  • Cite this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Permanent link

Enabling the control of robotic devices with camera-equipped wearables based on similarity recognition

Bibliographic Details
Main Author: Berecz Nóra Noémi
Other Authors: Escudero Vinolo, Marcos, PhD
Carballeira López, Pablo, PhD
Format: Manuscript essay
Published: 2022-01-31
Online Access:https://diplomamunka.ppke.hu/8527
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

Dokumentum-elérés

Similar Items

  • Development of a wearable multi-channel EMG acquisition device for control purposes using soft textile technologies
    by: Kráz Balázs
    Published: (2025)
  • Design of control electronics for a wearable, exoskeletal human-machine interface for encoding hand motion towards dexterous robotic teleoperation
    by: Pelyva Dávid László
    Published: (2014)
  • Depth estimation for robotic prosthesis arm with object-to-grasp recognition from eye-tracker glasses. Application to Neuroprosthesis control
    by: Buzási Bence
    Published: (2014)
  • Recognition of objects to grasp and Neuro-Prosthesis control
    by: Fejér Attila
    Published: (2022)
  • Depth estimation for robotic prosthesis arm with object-to-grasp recognition from eye-tracker glasses and Hardware implementation. Application to Neuroprosthesis control
    by: Fejér Attila
    Published: (2014)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips

Itt kérhet technikai vagy tartalmi segítséget: repo AT ppke.hu
-- Készült az Európai Unió Helyreállítási Alap támogatásával megvalósuló RRF-2.1.2-21-2022-00014 azonosító számú, „A PPKE gyakorlatorientált képzéseinek infrastrukturális- és készségfejlesztése” című projekt keretében.
RRF Logo