HapticDrone - An encountered-type kinesthetic haptic interface with controllable force feedback: Initial example for 1D haptic feedback
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
We present HapticDrone, a concept to generate controllable and comparable force feedback for direct haptic interaction with a drone. As a proof-of-concept study this paper focuses on creating haptic feedback only in 1D direction. To this end, an encountered-type, safe and un-tethered haptic display is implemented. An overview of the system and details on how to control the force output of drones is provided. Our current prototype generates forces up to 1.53 N upwards and 2.97 N downwards. This concept serves as a first step towards introducing drones as mainstream haptic devices.
Original language | English |
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Title of host publication | UIST 2017 Adjunct - Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology |
Number of pages | 3 |
Publisher | Association for Computing Machinery, Inc. |
Publication date | 20 Oct 2017 |
Pages | 115-117 |
ISBN (Electronic) | 9781450354196 |
DOIs | |
Publication status | Published - 20 Oct 2017 |
Externally published | Yes |
Event | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 - Quebec City, Canada Duration: 22 Oct 2017 → 25 Oct 2017 |
Conference
Conference | 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017 |
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Land | Canada |
By | Quebec City |
Periode | 22/10/2017 → 25/10/2017 |
Sponsor | ACM Special Interest Group on Computer Graphics and Interactive Techniques (ACM SIGGRAPH), ACM Special Interest Group on Computer-Human Interaction (ACM SIGCHI), Autodesk Inc, Disney Research, et al, Jeff Han |
Series | UIST 2017 Adjunct - Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology |
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Bibliographical note
Publisher Copyright:
Copyright © 2017 is held by the owner/author(s).
- Drone, Encountered, Haptics, Kinesthetic, Virtual reality
Research areas
ID: 388953684