TY - GEN
T1 - Classification of hand postures based on 3D vision model for human-robot interaction
AU - Takimoto, Hironori
AU - Yoshimori, Seiki
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
PY - 2010/12/13
Y1 - 2010/12/13
N2 - In this paper, a method for hand posture recognition, which is robust for hand posture changing in an actual environment, is proposed. Conventionally, a data glove device and a 3D scanner have been used for the feature extraction of hand shape. However, the performance of each approach is affeected by hand posture changing. Therefore, this paper proposes the posture fluctuation model for efficient hand posture recognition, based on 3D hand shape and color feature obtained from a stereo camera. A large set of dictionary for posture recognition is built by various leaned hand images which were auto-created from one scanned hand image, based on plural proposed models. In order to show the effectiveness of proposed method, performance and processing times for posture recognition are compared to conventional method. In addition, we perform the evaluation experiment by using the Japanese sign language.
AB - In this paper, a method for hand posture recognition, which is robust for hand posture changing in an actual environment, is proposed. Conventionally, a data glove device and a 3D scanner have been used for the feature extraction of hand shape. However, the performance of each approach is affeected by hand posture changing. Therefore, this paper proposes the posture fluctuation model for efficient hand posture recognition, based on 3D hand shape and color feature obtained from a stereo camera. A large set of dictionary for posture recognition is built by various leaned hand images which were auto-created from one scanned hand image, based on plural proposed models. In order to show the effectiveness of proposed method, performance and processing times for posture recognition are compared to conventional method. In addition, we perform the evaluation experiment by using the Japanese sign language.
UR - http://www.scopus.com/inward/record.url?scp=78649857192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649857192&partnerID=8YFLogxK
U2 - 10.1109/ROMAN.2010.5598646
DO - 10.1109/ROMAN.2010.5598646
M3 - Conference contribution
AN - SCOPUS:78649857192
SN - 9781424479917
T3 - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
SP - 292
EP - 297
BT - 19th International Symposium in Robot and Human Interactive Communication, RO-MAN 2010
T2 - 19th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2010
Y2 - 12 September 2010 through 15 September 2010
ER -