Paper Info
Title
Video2Force: Experiencing Object Motion in Video with Dynamic Force Feedback based on Bio-Inspired Sensing and Processing
Abstract
In this work, we propose Video2Force, a framework that can estimate the video object motion and its resulting "force" by leveraging the emerging bio-inspired vision sensors for low-complexity and low-latency visual information processing. While the user watches video, the estimated force is "delivered" to the user's sensation with dynamic force feedback via emerging haptic gloves, synchronized with the video content. Consequently, the user is enabled to experience the "virtual existence" of the video object and its motion. Preliminary experimental results demonstrate that Video2Force is feasible and can enhance the users' presence in video experience.
Year
DOI
Venue
2022
10.1109/VRW55335.2022.00280
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022)
Keywords
DocType
Citations 
Human-centered computing, Empirical studies in HCI, Human-centered computing, Virtual reality
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Guangxin Zhao100.34
Zhaobo Wang200.34
Xiaoming Chen330128.67
Zhicheng Lu401.69
Yuk Ying Chung521125.47
Haisheng Li61010.14