Research on Applied Technology in Human Action Recognition Based on Skeleton Information

Zhi Qiang Wei; Ji An Wu; Xi Wang

doi:10.4028/www.scientific.net/AMR.859.498

Paper Titles

Research of Classification Retrieval Technology in Remote Video Communication Network
p.477

Research on Information Technology with Moving Object Segmentation Based on Memory Matrix and Kalman Filter
p.482

Applied Technology on Improving the Order Picking Efficiency in the Area of EC of China Post Logistics Based on ACO
p.486

The Application of Cloud Computing Technology with Application of Network Data in Distance Education
p.492

Research on Applied Technology in Human Action Recognition Based on Skeleton Information
p.498

Applied Technology in the Performance of University Computer Labs
p.503

Applied Technology in Design of Random Human Information Interactive System Based on Android
p.507

Applied Technology and Evaluation on Emergency Management Capability of Coal Mine Accidents Based on AHP and the Fuzzy Comprehensive Evaluation Method
p.511

Comparison on Applied Technology in Web Application in Chinese and American Education
p.515

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 859Research on Applied Technology in Human Action...

Research on Applied Technology in Human Action Recognition Based on Skeleton Information

Abstract:

In order to realize the identification of human daily actions, a method of identifying human daily actions is realized in this paper, which transforms this problem into converting human action recognition into analyzing feature sequence. Then the feature sequence combined with improved LCS algorithm could realize the human actions recognition. Data analysis and experimental results show the recognition rate of this method is high and speed is fast, and this applied technology will have broad prospects.

You might also be interested in these eBooks

Advanced Research on Civil Engineering, Materials Engineering and Applied Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 859)

Pages:

498-502

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.859.498

Citation:

Cite this paper

Online since:

December 2013

Authors:

Zhi Qiang Wei, Ji An Wu*, Xi Wang

Keywords:

Action Recognition, Applied Technology, Human-Computer Interaction (HCI), KINECT, LCS Algorithm

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Jiang, R. M. Sadka, A. H. Crookes, D. Multimodal Biometric Human Recognition for Perceptual Human–Computer Interaction. IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, 2010, 40(6): 676-681.

DOI: 10.1109/tsmcc.2010.2050476

Google Scholar

[2] Erica Naone. Microsoft Kinect: How the Device Can Respond to Your Voice and Gestures. Pioneering with Science and Technology, 2011; 4(04)：82-83.

Google Scholar

[3] Yang J. -Y., Wang J. -S., and Chen Y. -P. Using acceleration measurements for activity recognition: an effective learning algorithm for constructing neural classifiers. Pattern Recognition Letters, 2008, 29(16): 2213-2220.

DOI: 10.1016/j.patrec.2008.08.002

Google Scholar

[4] Yang J., Wang S. -Q., and Chen N. -J., et al. Wearable accelerometer based extendable activity recognition system. IEEE Int. Conf. on Robotics and Automation Anchorage Convention District, 2010: 3641-3647.

DOI: 10.1109/robot.2010.5509783

Google Scholar

[5] Ravi N., Dandekar N., and Mysore P., et al. Activity recognition from accelerometer data. In Proc. of the National Conference on Artificial Intelligence, 2005, 20(3): 1541-1546.

Google Scholar

[6] Wang, Qingguo, Korkin, Dmitry, Shang. Yi et al. A Fast Multiple Longest Common Subsequence (MLCS) Algorithm. IEEE Transactions on Knowledge and Data Engineering. 2011, 23(3): 321-334.

DOI: 10.1109/tkde.2010.123

Google Scholar

[7] Sayyed Rasoul Mousavi, Farzaneh Tabataba. An improved algorithm for the longest common subsequence problem. Computers & operations research, 2012, 39(3): 512-520.

DOI: 10.1016/j.cor.2011.02.026

Google Scholar