User: Guest  Login
Title:

DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework

Document type:
Konferenzbeitrag
Author(s):
Köpüklü, O.; Ledwon, T.; Rong, Y.; Köse, N.; Rigoll, G.
Pages contribution:
pp. 275-282
Keywords:
hand gesture recognition; dataset for driver gestures; online recognition; 3d cnns
Book / Congress title:
15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)
Organization:
IEEE
Publisher address:
Los Alamitos, CA, USA
Year:
2020
Month:
May
WWW:
https://doi.ieeecomputersociety.org/10.1109/FG47880.2020.00041
TUM Institution:
Lehrstuhl für Mensch-Maschine-Kommunikation
 BibTeX