Aspects of Haptic Feedback in a Multi-modal Interface for Object Modelling

被引:1
|
作者
J. De Boeck
C. Raymaekers
K. Coninx
机构
[1] Limburg University Centre,Expertise Centre for Digital Media
关键词
Multi-modal Interface; Force Feedback; Haptic Feedback; Virtual Modelling;
D O I
10.1007/s10055-003-0108-7
中图分类号
学科分类号
摘要
In our everyday life, interaction with the world consists of a complex mixture of audio (speech and sounds), vision and touch. Hence, we may conclude that the most natural means of human communication is multi-modal. Our overall research goal is to develop a natural 3D human-computer interaction framework for modelling purposes without mouse or keyboard and where many different sensing modalities will be used simultaneously and cooperatively. This article will focus on the various interface issues on the way to an intuitive environment in which one or more users can model their prototypes in a natural manner. Some technical framework decisions, such as messaging and network systems, will also be investigated.
引用
收藏
页码:257 / 270
页数:13
相关论文
共 50 条
  • [21] Group interaction through a multi-modal haptic framework
    Le, Huang H.
    Loomes, Martin J.
    Loureiro, Rui C. V.
    12TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS - IE 2016, 2016, : 62 - 67
  • [22] Multi-Modal Haptic Rendering Based on Genetic Algorithm
    Li, Yucheng
    Wang, Fei
    Tao, Liangze
    Wu, Juan
    ELECTRONICS, 2022, 11 (23)
  • [23] Modelling multi-modal learning in a hawkmoth
    Balkenius, Anna
    Kelber, Almut
    Balkenius, Christian
    FROM ANIMALS TO ANIMATS 9, PROCEEDINGS, 2006, 4095 : 422 - 433
  • [24] A Multi-modal Approach for Enhancing Object Placement
    Srimal, P. H. D. Arjuna S.
    Jayasekara, A. G. Buddhika P.
    PROCEEDINGS OF THE 2017 6TH NATIONAL CONFERENCE ON TECHNOLOGY & MANAGEMENT (NCTM) - EXCEL IN RESEARCH AND BUILD THE NATION, 2017, : 17 - 22
  • [25] Multi-modal Queried Object Detection in the Wild
    Xu, Yifan
    Zhang, Mengdan
    Fu, Chaoyou
    Chen, Peixian
    Yang, Xiaoshan
    Li, Ke
    Xu, Changsheng
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [26] Deep Object Tracking with Multi-modal Data
    Zhang, Xuezhi
    Yuan, Yuan
    Lu, Xiaoqiang
    2016 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2016, : 161 - 165
  • [27] Multi-Modal Human Interactions with an Intelligent Interface Utilizing Images, Sounds, and Force Feedback
    Fei He
    Arvin Agah
    Journal of Intelligent and Robotic Systems, 2001, 32 : 171 - 190
  • [28] Multi-modal human interactions with an intelligent interface utilizing images, sounds, and force feedback
    He, F
    Agah, A
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2001, 32 (02) : 171 - 190
  • [29] Multi-modal feedback in insect flight control
    Ahmed, M. A.
    Deora, T.
    Brunton, B. W.
    Daniel, T. L.
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2020, 60 : E271 - E271
  • [30] MULTI-MODAL FORMATIVE FEEDBACK: PRACTICUM EXPERIENCES
    Marais, E.
    Nel, C.
    EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2018, : 10318 - 10325