Sci Robot September 2021 PMID 34586835

Visual-inertial hand motion tracking with robustness against occlusion, interference, and contact.

Yongseok Lee, Wonkyung Do, Hanbyeol Yoon, Jinuk Heo, WonHa Lee, Dongjun Lee

Mentions

11
Peak: 9 in Oct 2021
across 3 sources since Oct 2021

Extended reach

57,820
potential audience

Total likes

22

Video views

1,404

Mentions per month

Oct 2021

All 9 dated mentions so far are from Oct 2021.

Where it's discussed

  • YouTube6 videos
  • X / Twitter3 posts
  • News2 articles

AI synopsis

What people are saying

The discussions highlight the innovative aspects of the framework, with examples such as references to its use in virtual reality and robotics, emphasizing words like 'accurate,' 'affordable,' and 'potential.' The tone is optimistic and forward-looking, reflecting excitement about its broad implications and real-world applications.

AgreementModerate agreement

Most posts express support for the advancement and potential applications of the research, highlighting its accuracy, affordability, and versatility.

InterestHigh interest

Discussions show high enthusiasm, emphasizing the technology’s implications for fields like virtual reality, prosthetics, and drone control.

EngagementHigh engagement

Users delve into detailed descriptions of the framework, mentioning its combination of visual and force measurements and its robustness against environmental obstacles.

ImpactHigh impact

Posts suggest that this research could significantly influence multiple industries and improve human interaction with robots and virtual environments.

Abstract in brief

  • State-of-the-art hand tracking technologies often struggle with accuracy due to issues like occlusions, electromagnetic interference, and ambiguous mechanical contact.
  • The proposed VIST framework combines a sensor glove with IMUs, visual markers, and a head-mounted stereo camera, utilizing a fusion algorithm for improved hand motion tracking.
  • VIST aims to enhance human-robot interaction and user experiences in virtual/augmented reality while being cost-effective, lightweight, and durable.

Top posts

Most liked on X and Bluesky
Science Robotics
@SciRobotics · X

As an accurate, affordable, portable, and even washable tracking system, a new hand and finger-tracking tool designed by @SNUnow demonstrates potential for use in a variety of fields, including #virtualreality, #prosthetics, or #drone swarm control: https://t.co/BBquo3drc7 https://t.co/gPCFFLn4QB

Oct 7, 2021 · 8 likes · 2 shares · 27,651 followers View post →
Science Robotics
@SciRobotics · X

.@SNUnow scientists have designed a new framework that combines visuals and measurements of force to accurately track hand and finger motion, even when this motion is hard to detect due to obstacles in the real-world environment: https://t.co/BBquo3drc7 #robotics #AI https://t.co/LWo5TZNVRp

Oct 6, 2021 · 2 likes · 27,651 followers View post →

All mentions

Let's learnrobot.com®
@LearnRobot · X

RT @SciRobotics: As an accurate, affordable, portable, and even washable tracking system, a new hand and finger-tracking tool designed by @…

Oct 7, 2021 · 2 shares · 1,108 followers View post →
Science Robotics
@SciRobotics · X

As an accurate, affordable, portable, and even washable tracking system, a new hand and finger-tracking tool designed by @SNUnow demonstrates potential for use in a variety of fields, including #virtualreality, #prosthetics, or #drone swarm control: https://t.co/BBquo3drc7 https://t.co/gPCFFLn4QB

Oct 7, 2021 · 8 likes · 2 shares · 27,651 followers View post →
Science Robotics
@SciRobotics · X

.@SNUnow scientists have designed a new framework that combines visuals and measurements of force to accurately track hand and finger motion, even when this motion is hard to detect due to obstacles in the real-world environment: https://t.co/BBquo3drc7 #robotics #AI https://t.co/LWo5TZNVRp

Oct 6, 2021 · 2 likes · 27,651 followers View post →