Project MultiLeap: Making Multiple Hand Tracking Sensors to Act Like One
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00353691" target="_blank" >RIV/68407700:21240/21:00353691 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9644262" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9644262</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AIVR52153.2021.00021" target="_blank" >10.1109/AIVR52153.2021.00021</a>
Alternative languages
Result language
angličtina
Original language name
Project MultiLeap: Making Multiple Hand Tracking Sensors to Act Like One
Original language description
We present a concept that provides hand tracking for virtual and extended reality, only with the use of optical sensors, without the need for the user to hold any physical controller. In this article, we propose five new algorithms further to extend our previous research and the possibilities of the hand tracking system whilst also making it more precise. The first algorithm deals with the need to calibrate the tracking system. Thanks to the new approach, we improved tracking precision by 37% over our previous solution. The second algorithm allows us to compute the precision of the hand tracking data when multiple sensors are used. The third algorithm further improves the computation of hand tracking data confidence by correctly handling the edge cases, for example, when the tracked hand is at the edge of the sensor's field of view. The fourth algorithm provides a new way to fuse the hand tracking data by using only the hand tracking data with the highest hand tracking data confidence. The fifth algorithm deals with the issue when the optical sensor misclassifies the hand chirality.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
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 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
ISBN
978-1-6654-3225-2
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
77-83
Publisher name
IEEE
Place of publication
Beijing
Event location
Taichung
Event date
Nov 15, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—