03202nam a22005415i 4500 978-3-031-56521-2 DE-He213 20251030112047.0 cr nn 008mamaa 240518s2024 sz | s |||| 0|eng d 9783031565212 978-3-031-56521-2 10.1007/978-3-031-56521-2 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Advances in Haptics and Virtual Reality [electronic resource] : Proceedings of 2023 International Conference on Haptics and Virtual Reality / edited by Jianbo Su, Xiuquan Qiao. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VI, 201 p. 101 illus., 90 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Learning and Analytics in Intelligent Systems, 2662-3455 ; 37 This book collects selected papers from the 2023 International Conference on Haptics and Virtual Reality (ICHVR 2023), held during December 15–17, 2023. ICHVR 2023 is organized by Southeast University (SEU), Shanghai Jiao Tong University (SJTU) and co-organized by the International Association of Electrical, Electronic and Energy Engineering (IAEEEE). This book gathers together latest findings and insightful ideas from innovative academics and experts in the field of Haptics, Virtual Reality, Human–Computer Interaction, Computer Vision, Computer Arts, Mobile Intelligent Device and Artificial Intelligent Algorithm. This book serves as a valuable resource for staying up-to-date with the state of the art in Haptics and Virtual Reality and serves as a catalyst for further advancements and innovation in these fields, which will provide unique perspectives for readers consisting of professionals, scientists, practitioners, researchers, and graduate students. Engineering Data processing. Computational intelligence. 64052 Engineering mathematics. 64145 Data Engineering. 66059 Computational Intelligence. 64052 Mathematical and Computational Engineering Applications. Su, Jianbo. editor. edt http://id.loc.gov/vocabulary/relators/edt 76993 Qiao, Xiuquan. editor. edt http://id.loc.gov/vocabulary/relators/edt 76994 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031565205 Printed edition: 9783031565229 Printed edition: 9783031565236 Learning and Analytics in Intelligent Systems, 2662-3455 ; 37 69955 https://doi.org/10.1007/978-3-031-56521-2 ZDB-2-INR ZDB-2-SXIT 59941 59941