Configuration-Based Optimization for Virtual Hand Haptic Simulation

التفاصيل البيبلوغرافية
العنوان: Configuration-Based Optimization for Virtual Hand Haptic Simulation
المؤلفون: Qianqian Tong, Qiong Wang, Yingkui Zhang, Xiangyun Liao, Wenxuan Wei, Yuru Zhang, Jing Xiao, Dangxiao Wang
المصدر: IEEE Transactions on Haptics. 15:613-625
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2022.
سنة النشر: 2022
مصطلحات موضوعية: Human-Computer Interaction, Computer Science Applications
الوصف: Interacting with virtual objects via haptic feedback using the user's hand directly (virtual hand haptic interaction) provides a natural and immersive way to explore the virtual world. It remains a challenging topic to achieve 1 kHz stable virtual hand haptic simulation with no penetration amid hundreds of hand-object contacts. In this paper, we advocate decoupling the high-dimensional optimization problem of computing the graphic-hand configuration, and progressively optimizing the configuration of the graphic palm and fingers, yielding a decoupled-and-progressive optimization framework. We also introduce a method for accurate and efficient hand-object contact simulation, which constructs a virtual hand consisting of a sphere-tree model and five articulated cone frustums, and adopts a configuration-based optimization algorithm to compute the graphic-hand configuration under non-penetration contact constraints. Experimental results show both high update rate and stability for a variety of manipulation behaviors. Non-penetration between the graphic hand and complex-shaped objects can be maintained under diverse contact distributions, and even for frequent contact switches. The update rate of the haptic simulation loop exceeds 1 kHz for the whole-hand interaction with about 250 contacts.
تدمد: 2334-0134
1939-1412
DOI: 10.1109/toh.2022.3196625
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0b3197604cc5bcd7ece2832e1b1e00
https://doi.org/10.1109/toh.2022.3196625
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....3c0b3197604cc5bcd7ece2832e1b1e00
قاعدة البيانات: OpenAIRE
الوصف
تدمد:23340134
19391412
DOI:10.1109/toh.2022.3196625