期刊
SENSORS
卷 20, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/s20082436
关键词
action recognition; social robotics; common spatial patterns
资金
- Basque Government, Spain [IT900-16]
- Spanish Ministry of Science (MCIU)
- State Research Agency (AEI)
- European Regional Development Fund (FEDER) [RTI2018-093337-B-I00]
Action recognition in robotics is a research field that has gained momentum in recent years. In this work, a video activity recognition method is presented, which has the ultimate goal of endowing a robot with action recognition capabilities for a more natural social interaction. The application of Common Spatial Patterns (CSP), a signal processing approach widely used in electroencephalography (EEG), is presented in a novel manner to be used in activity recognition in videos taken by a humanoid robot. A sequence of skeleton data is considered as a multidimensional signal and filtered according to the CSP algorithm. Then, characteristics extracted from these filtered data are used as features for a classifier. A database with 46 individuals performing six different actions has been created to test the proposed method. The CSP-based method along with a Linear Discriminant Analysis (LDA) classifier has been compared to a Long Short-Term Memory (LSTM) neural network, showing that the former obtains similar or better results than the latter, while being simpler.
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