Synopsis of Social media discussions
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.
Agreement
Moderate agreementMost posts express support for the advancement and potential applications of the research, highlighting its accuracy, affordability, and versatility.
Interest
High level of interestDiscussions show high enthusiasm, emphasizing the technology’s implications for fields like virtual reality, prosthetics, and drone control.
Engagement
High engagementUsers delve into detailed descriptions of the framework, mentioning its combination of visual and force measurements and its robustness against environmental obstacles.
Impact
High level of impactPosts suggest that this research could significantly influence multiple industries and improve human interaction with robots and virtual environments.
Social Mentions
YouTube
6 Videos
3 Posts
News
2 Articles
Metrics
Video Views
1,404
Total Likes
22
Extended Reach
57,820
Social Features
11
Timeline: Posts about article
Top Social Media Posts
Science Robotics
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
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Science Robotics
.@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
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Let's learnrobot.com®
RT @SciRobotics: As an accurate, affordable, portable, and even washable tracking system, a new hand and finger-tracking tool designed by @…
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Posts referencing the article
Robust Visual-Inertial Skeleton Tracking for Hand Motion Analysis
State-of-the-art hand tracking technologies often struggle with occlusions and interference. We propose VIST, combining a sensor glove with IMUs, visual markers, and stereo cameras, using fusion algorithms to improve accuracy and robustness in real-world scenarios.
October 14, 2021
458 views
Enhanced Hand Tracking with Visual-Inertial Skeleton Tracking VIST
State-of-the-art hand tracking technologies often struggle with accuracy due to issues like occlusions, electromagnetic interference, and ambiguous mechanical contact. The VIST framework combines IMUs, visual markers, and stereo cameras for robust, accurate hand motion tracking in real-world scenarios.
October 14, 2021
389 views
Robust Visual-Inertial Hand Tracking for Enhanced Interaction and VR
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 ha
October 14, 2021
201 views
Robust Hand Tracking with Visual-Inertial Skeleton Tracking VIST
State-of-the-art hand tracking technologies often struggle with accuracy due to issues like occlusions, electromagnetic interference, and ambiguous mechanical contact. The VIST framework combines a sensor glove with IMUs, visual markers, and a stereo camera, improving robustness in various environments.
October 14, 2021
182 views
Robust Hand Tracking Using Visual-Inertial Skeleton Tracking VIST
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 ha
October 14, 2021
99 views
Enhanced Hand Tracking with Visual-Inertial Skeleton Tracking VIST
State-of-the-art hand tracking technologies often struggle with accuracy due to issues like occlusions, electromagnetic interference, and ambiguous mechanical contact. The VIST framework combines sensor gloves, visual markers, and stereo cameras to improve robustness and accuracy for real-world applications.
October 14, 2021
77 views
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RT @SciRobotics: As an accurate, affordable, portable, and even washable tracking system, a new hand and finger-tracking tool designed by @…
view full postOctober 7, 2021
2
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Science Robotics
@SciRobotics (Twitter)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
view full postOctober 7, 2021
8
2
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Science Robotics
@SciRobotics (Twitter).@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
view full postOctober 6, 2021
2
Abstract Synopsis
- 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.
Let's learnrobot.com®
@LearnRobot (Twitter)