Project MultiLeap: Fusing Data from Multiple Leap Motion Sensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00356091" target="_blank" >RIV/68407700:21240/21:00356091 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICVR51878.2021.9483819" target="_blank" >https://doi.org/10.1109/ICVR51878.2021.9483819</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICVR51878.2021.9483819" target="_blank" >10.1109/ICVR51878.2021.9483819</a>
Alternative languages
Result language
angličtina
Original language name
Project MultiLeap: Fusing Data from Multiple Leap Motion Sensors
Original language description
Finding a simple and precise way to control the virtual environment is one of the goals of a lot of human-computer interaction research. One of the approaches is using a Leap Motion optical sensor, which provides hand and finger tracking without the need for any hand-held device. However, the Leap Motion system currently supports only one sensor at a time. To overcome this limitation, we proposed a set of algorithms to combine the data from multiple Leap Motion sensors to increase the precision and the usability of hand tracking. First, we suggested a way how to improve the calibration of the current hand pose alignment proposed by Leap Motion. Then, we proposed an approach to fuse the tracking data from multiple Leap Motion sensors to provide more precise interaction with the virtual world. For this, we implemented our very own algorithm for computing the confidence level of the tracking data that can be used to distinguish which Leap Motion sensor detects the tracked hands best. We implemented those algorithms into our MultiLeap library. We also created two demo scenes that we used to validate the correctness of our work - one for evaluation of the fusing algorithms and one for mimicking the interaction with control panels in a helicopter cockpit.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 7th IEEE International Conference on Virtual Reality
ISBN
9781665423090
ISSN
2331-9569
e-ISSN
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Number of pages
7
Pages from-to
19-25
Publisher name
IEEE
Place of publication
Beijing
Event location
Foshan
Event date
May 20, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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