TY - GEN
T1 - A Time Reversal Symmetry Based Real-time Optical Motion Capture Missing Marker Recovery Method
AU - Weng, Dongdong
AU - Wang, Yihan
AU - Li, Dong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a deep learning model based on time reversal symmetry for real-time recovery of continuous missing marker sequences in optical motion capture. This paper firstly uses time reversal symmetry of human motion as a constraint of the model. BiLSTM is used to describe the constraint and extract the bidirectional spatiotemporal features. This paper proposes a weight position loss function for model training, which describes the effect of different joints on the pose. Compared with the existing methods, the experimental results show that the proposed method has higher accuracy and good real-time performance.
AB - This paper proposes a deep learning model based on time reversal symmetry for real-time recovery of continuous missing marker sequences in optical motion capture. This paper firstly uses time reversal symmetry of human motion as a constraint of the model. BiLSTM is used to describe the constraint and extract the bidirectional spatiotemporal features. This paper proposes a weight position loss function for model training, which describes the effect of different joints on the pose. Compared with the existing methods, the experimental results show that the proposed method has higher accuracy and good real-time performance.
KW - Human computer interaction(HCI)
KW - Human-centered computing
KW - Interaction paradigms
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85129597186&partnerID=8YFLogxK
U2 - 10.1109/VRW55335.2022.00237
DO - 10.1109/VRW55335.2022.00237
M3 - Conference contribution
AN - SCOPUS:85129597186
T3 - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
SP - 772
EP - 773
BT - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2022
Y2 - 12 March 2022 through 16 March 2022
ER -