Workshop on Gesture Recognition and launching of a benchmark program

Gestures can originate from any body motion or state but commonly originate from the face or hand. Much recent research has focused on emotion recognition from face and hand gestures, with applications in gaming, marketing, and computer interfaces. Many approaches have been made using cameras and computer vision algorithms to interpret sign language for the deaf. However, the identification and recognition of postures and human behaviors is also the subject of gesture recognition techniques and has gained importance in applications such as video surveillance. This workshop aims at gathering researchers from different application domains working on gesture recognition to share algorithms and techniques. All the information on how to participate in the data exchange or the challenge is available at: http://gesture.chalearn.org/.

Detailed information can be found at workshop homepage.

//Disclaimer:// There may be mistakes or omissions in the interpretation as the interpreters are not experts in the field of interest and performed a simultaneous translation without comprehensive preparation.