TY  - JOUR
AU  - Sergio Escalera
AU  - Vassilis Athitsos
AU  - Isabelle Guyon
ED  - Zhuowen Tu
PY  - 2016//
TI  - Challenges in multimodal gesture recognition
T2  - JMLR
JO  - Journal of Machine Learning Research
SP  - 1
EP  - 54
VL  - 17
KW  - Gesture Recognition
KW  - Time Series Analysis
KW  - Multimodal Data Analysis
KW  - Computer Vision
KW  - Pattern Recognition
KW  - Wearable sensors
KW  - Infrared Cameras
KW  - KinectTM
N2  - This paper surveys the state of the art on multimodal gesture recognition and introduces the JMLR special topic on gesture recognition 2011-2015. We began right at the start of the KinectTMrevolution when inexpensive infrared cameras providing image depth recordings became available. We published papers using this technology and other more conventional methods, including regular video cameras, to record data, thus providing a good overview of uses of machine learning and computer vision using multimodal data in this area of application. Notably, we organized a series of challenges and made available several datasets we recorded for that purpose, including tens of thousandsof videos, which are available to conduct further research. We also overview recent state of the art works on gesture recognition based on a proposed taxonomy for gesture recognition, discussing challenges and future lines of research.
UR  - http://jmlr.org/papers/volume17/14-468/14-468.pdf
N1  - HuPBA;MILAB;
ID  - Sergio Escalera2016
ER  -