TY - JOUR
AU - 
AB - International Journal of Machine Learning and Computing, Vol. 9, No. 6, December 2019 Improving Dynamic Hand Gesture Recognition on Multi- views with Multi-modalities Huong-Giang Doan and Van-Toi Nguyen in recent decades [4]-[8]. Although, this topic has still faced Abstract—Hand gesture recognition topic has been to many challenges such as complex background, occlusion, researched for many recent decades because it could be used in blur, light condition, various scales, different views many fields as sign language, virtual game, human-robot directions, non-rigid hand objects, etc. Kinect sensor brings interaction, entertainment and so on. However, this problem new approach for research community because it provides has been faced to many challenges such as combination of not only RGB images but also Depth information at the multi information in a temporal flow in order to understand the meaning of human hand gesture. In recent times, thanks to same time. Moreover, deploiting and utilizing those cues the advances in hardware technologies such as readily flows is father researched in order to obtain better efficient available 3D cameras, Kinect sensors, and etc. The impressive recognition accuracy and on different viewpoints. performance of cutting-edge techniques in computer vision, The problem of dynamic hand gesture recognition with 
TI - Improving Dynamic Hand Gesture Recognition on Multi-views with Multi-modalities
JF - International Journal of Machine Learning and Computing
DO - 10.18178/ijmlc.2019.9.6.875
DA - 2019-12-01
UR - https://www.deepdyve.com/lp/unpaywall/improving-dynamic-hand-gesture-recognition-on-multi-views-with-multi-M0goK2Ozby
DP - DeepDyve
ER -