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dSensingNI: a framework for advanced tangible interaction using a depth camera

Published: 19 February 2012 Publication History

Abstract

This work presents an approach to overcome the disadvantages of existing interaction frameworks and technologies for touch detection and object interaction. The robust and easy to use framework dSensingNI (Depth Sensing Natural Interaction) is described, which supports multitouch and tangible interaction with arbitrary objects. It uses images from a depth-sensing camera and provides tracking of users fingers of palm of hands and combines this with object interaction, such as grasping, grouping and stacking, which can be used for advanced interaction techniques.

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    cover image ACM Conferences
    TEI '12: Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
    February 2012
    413 pages
    ISBN:9781450311748
    DOI:10.1145/2148131
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 19 February 2012

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    Author Tags

    1. depth camera
    2. human computer interaction
    3. interaction framework
    4. multitouch
    5. smart objects
    6. tangible interaction

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    • (2022)Digital Accessibility in Intelligent EnvironmentsHuman-Automation Interaction10.1007/978-3-031-10780-1_25(453-475)Online publication date: 1-Oct-2022
    • (2021)Research on Hand Detection in Complex Scenes Based on RGB-D SensorHuman-Computer Interaction. Interaction Techniques and Novel Applications10.1007/978-3-030-78465-2_12(147-158)Online publication date: 3-Jul-2021
    • (2018)FlowPutProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31917632:1(1-23)Online publication date: 26-Mar-2018
    • (2017)Pattern mining and process modelling of collaborative interaction data in an online multi-tabletop learning environmentInternational Journal of Knowledge Engineering and Data Mining10.1504/IJKEDM.2017.0862264:2(114-144)Online publication date: 1-Jan-2017
    • (2017)Cyrillic manual alphabet recognition in RGB and RGB-D data for sign language interpreting robotic system (SLIRS)2017 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA.2017.7989526(4531-4536)Online publication date: May-2017
    • (2017)Touch detection for planar interactive displays based on lateral depth viewsMultimedia Tools and Applications10.1007/s11042-016-3695-576:10(12683-12707)Online publication date: 1-May-2017
    • (2017)Experiencing touchless interaction with augmented content on wearable head-mounted displays in cultural heritage applicationsPersonal and Ubiquitous Computing10.1007/s00779-016-0987-821:2(203-217)Online publication date: 1-Apr-2017
    • (2017)Teach Me How! Interactive Assembly Instructions Using Demonstration and In-Situ ProjectionAssistive Augmentation10.1007/978-981-10-6404-3_4(49-73)Online publication date: 12-Nov-2017
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