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DTSTAMP:20250522T212948Z
LOCATION:Mile High Pre-Function Area
DTSTART;TZID=America/Denver:20240730T090000
DTEND;TZID=America/Denver:20240730T173000
UID:siggraph_SIGGRAPH 2024_sess413@linklings.com
SUMMARY:Posters: Interactive Techniques
DESCRIPTION:54. Fabricating Haptic Paper Interface\n\nOur research focuses
  on incorporating haptic feedback into paper interfaces using cardboard st
 ructures and static magnets. This enhances user confidence and experience,
  addressing the often overlooked haptic aspect in traditional paper interf
 aces.\n\n\nRuhan Yang and Ellen Do (ATLAS Institute, University of Colorad
 o, Boulder)\n---------------------\n51. A Study on Tactile Illusions of Te
 mperature and Touch Through Virtual Hand Illusion\n\nWe investigated the s
 ensory experience of "temperature," "smoothness," and "hardness" in virtua
 l space. We conducted a tactile experiment without using a device by induc
 ing a tactile illusion using a virtual hand illusion. It was shown it is p
 ossible to create a tactile illusion using visual informa...\n\n\nShosuke 
 Iida (Toyo University) and Tomokazu Ishikawa (Toyo University, Prometech C
 G Research)\n---------------------\n59. The Future of Interaction with Mob
 ile Game Characters\n\nThis poster showcases a more natural way of interac
 ting with non-playable characters in mobile gaming, by leveraging the powe
 r of language models and speech.\n\n\nRoberto Lopez Mendez, Sicong Li, and
  Hong Ji Liu (Arm)\n---------------------\n55. FactoryDecoder: Expertise-F
 ree Digital Twin Generation and Modification Tool\n\nFactoryDecoder is a t
 ool for non-expert users in 3D engineering to generate and modify digital 
 twins. It translates descriptions of production lines into hierarchical as
 set codes that guides organizing layouts and device representations genera
 ting and positioning. It significantly reduces scenario b...\n\n\nJiachun 
 Du, Hanjin Zhong, Liang Zhou, and Jianye Li (Alibaba Group)\n-------------
 --------\n56. ImmerseSketch: Transforming Creative Prompts into Vivid 3D E
 nvironments in VR\n\nImmerseSketch is a VR creative system powered by gene
 rative AI. It can generate immersive environments and reference objects to
  assist artists in sketching and ideation processes. Artists can generate 
 an environment mesh with and obtain 3D models through the system as refere
 nce. Facilitating their c...\n\n\nAlfred Lan, Tai-Chen Tsai, Chih-Chuan Hu
 ang, and Pu Ching (National Tsing Hua University); Tse-Yu Pan (National Ta
 iwan University of Science and Technology); and Min-Chun Hu (National Tsin
 g Hua University)\n---------------------\n58. TexEdge: Towards an Approach
  for Optimization of Sensor Layouts in Textile Interfaces\n\nThe TexEdge a
 pproach allows designers to define user interface options. Based on these 
 designs, simulations are run and used for machine-learning classification.
  Our proposed process optimizes sensor placement and machine learning mode
 l weights, resulting in an optimal sensor arrangement in the fina...\n\n\n
 Samuel Zuehlke (University of Applied Sciences Upper Austria); Sara Mlakar
  (University of Applied Sciences Upper Austria, Technical University of Vi
 enna); Kathrin Probst (University of Applied Sciences Upper Austria); and 
 David C. Schedl (University of Applied Sciences Upper Austria, Hagenberg)\
 n---------------------\n52. BNNAction-Net: Binary Neural Network on Hands 
 Gesture Recognitions\n\nWe have developed a Hand Gestures Recognition mode
 l using deep learning that significantly outperforms the efficiency of cur
 rent state-of-the-art models by utilizing binary neural networks. This adv
 ancement enables the implementation of our model on standalone head-mounte
 d displays and wearable devi...\n\n\nFederico Fontana (Sapienza University
  of Rome), Alessandro Di Matteo (Università degli Studi dell'Aquila), Luig
 i Cinque (Sapienza University of Rome), Giuseppe Placidi (Università degli
  Studi dell'Aquila), and Marco Raoul Marini (Sapienza University of Rome)\
 n---------------------\n57. Real FPV Drone Simulator with 3D Scan Data and
  Visual Effects\n\nWe developed a simulator faithfully reproducing real-ti
 me footage of FPV drones. Utilizing proprietary high-precision 3D building
  scan data and visual effects through post-processing, we create a virtual
  space with more information. This research is expected to create new cont
 ent for immersive exper...\n\n\nTsukasa Ebisawa, Yusaku Aoki, Xu Han, Mina
  Shibasaki, Tetsuaki Baba, Kumiko Kushiyama, and Akira Nakayasu (Tokyo Met
 ropolitan University)\n---------------------\n50. 3D Printing Shape-Changi
 ng Devices with Inductive Sensing\n\nWe present a novel technique that con
 verts arbitrary 3D models into 3D printable shape-changing devices with se
 nsing capability through the integrated helix-and-lattice structure.\n\n\n
 Hsuanling Lee and Liang He (Purdue University)\n---------------------\n53.
  EMSJUMP: Electrical Muscle Stimulation as a Wearable Training Tool for Ta
 ke-off Phase of Ski Jumping\n\nEMSJUMP, a wearable EMS system, affects its
  influence on kinesthetic awareness and potential in ski jumping technique
  acquisition. We conducted two experiments to evaluate our system: a basic
  test on the effects of EMS during jumps, and a user study in training.\n\
 n\nShon Nakamura (University of Tsukuba) and Tatsuki Fushimi and Yoichi Oc
 hiai (University of Tsukuba; University of Tsukuba, Research and Developme
 nt Center for Digital Nature)\n\nRegistration Category: Full Conference, F
 ull Conference Supporter, Experience, Exhibitor Full Conference, Exhibitor
  Experience
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