TY - GEN
T1 - Student gesture recognition system in classroom 2.0
AU - Fang, Chiung Yao
AU - Kuo, Min Han
AU - Lee, Greg C.
AU - Chen, Sei Wang
PY - 2011
Y1 - 2011
N2 - This paper presents a student gesture recognition system employed in a theatre classroom, which is a subsystem belonging to Classroom 2.0. In this study, a PTZ camera is set up at the front of the classroom to capture video sequences. The system first pre-processes the input sequence to locate the main line of the theatre classroom and to extract the candidates from the foreground pixels. Subsequently, motion and color information is utilized to identify the foreground pixels, which are regarded as the seeds of growth for the foreground regions. The system combines the foreground regions to segment the objects, which represent individual students. Six student gestures, which include raising the right hand, raising the left hand, raising two hands, lying prone, standing up and normal, are classified based on the relationship between the regions in similar objects. The experimental results demonstrate that the proposed method is robust and efficient.
AB - This paper presents a student gesture recognition system employed in a theatre classroom, which is a subsystem belonging to Classroom 2.0. In this study, a PTZ camera is set up at the front of the classroom to capture video sequences. The system first pre-processes the input sequence to locate the main line of the theatre classroom and to extract the candidates from the foreground pixels. Subsequently, motion and color information is utilized to identify the foreground pixels, which are regarded as the seeds of growth for the foreground regions. The system combines the foreground regions to segment the objects, which represent individual students. Six student gestures, which include raising the right hand, raising the left hand, raising two hands, lying prone, standing up and normal, are classified based on the relationship between the regions in similar objects. The experimental results demonstrate that the proposed method is robust and efficient.
KW - Gesture recognition
KW - Object segmentation
KW - Smart classroom
UR - http://www.scopus.com/inward/record.url?scp=82455175616&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82455175616&partnerID=8YFLogxK
U2 - 10.2316/P.2011.734-010
DO - 10.2316/P.2011.734-010
M3 - Conference contribution
AN - SCOPUS:82455175616
SN - 9780889868885
T3 - Proceedings of the 14th IASTED International Conference on Computers and Advanced Technology in Education, CATE 2011
SP - 290
EP - 297
BT - Proceedings of the 14th IASTED International Conference on Computers and Advanced Technology in Education, CATE 2011
T2 - 14th IASTED International Conference on Computers and Advanced Technology in Education, CATE 2011
Y2 - 11 July 2011 through 13 July 2011
ER -