Live demonstration: Real-time orientation estimation and grasping of household objects for upper limb prostheses with a dynamic vision sensor

Siyi Tang, Rohan Ghosh, Nitish V Thakor, Sunil L. Kukreja

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this demonstration we show improved grasping capabilities of household objects by an upper limb prosthesis using the unique features of a dynamic vision sensor (DVS). With the low-power consumption and non-redundant data output of a DVS, our system is able to perform real-time object classification and optimal grasp orientation. This enables an amputee to simply approach an object to be grasped by the prosthetic, while our novel algorithm assists with task completion. Our approach is motivated with the goal to reduce cognitive load required by amputees to control prosthetic hands.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135
Number of pages1
ISBN (Electronic)9781509029594
DOIs
StatePublished - Jan 25 2017
Externally publishedYes
Event12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016 - Shanghai, China
Duration: Oct 17 2016Oct 19 2016

Other

Other12th IEEE Biomedical Circuits and Systems Conference, BioCAS 2016
CountryChina
CityShanghai
Period10/17/1610/19/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Biomedical Engineering

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