Name
Title | ||
|---|---|---|
Recognition approach of human motion with micro-accelerometer based on PCA-BP neural network algorithm |
Abstract | ||
|---|---|---|
A human motion recognition method based on micro-acceleration sensor technology is put forward in this paper. Acceleration information acquire system is designed, which is including a tri-axial accelerometer, a micro-processor, a wireless transmission module and power supply program. The signal preprocessing and methods of feature extraction is analyzed. What's more, the experiment of human hand motion recognition based on BP neural network is carried out, results show that method proposed have recognition rate of 90%, compare the characteristics without processing and through principal component analysis (PCA) respectively after the identification experiment, the results show that the latter improve recognition effect and speed up convergence rate. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39065-4_76 | ISNN (1) |
Keywords | Field | DocType |
micro-acceleration sensor technology,identification experiment,human hand motion recognition,feature extraction,pca-bp neural network algorithm,recognition rate,acceleration information,bp neural network,recognition effect,convergence rate,recognition approach,human motion recognition method | Computer science,Time delay neural network,Artificial intelligence,Rate of convergence,Artificial neural network,Computer vision,Pattern recognition,Accelerometer,Feature extraction,Preprocessor,Acceleration,Principal component analysis,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxiang Zhang | 1 | 11 | 15.58 |
| Huacheng Li | 2 | 0 | 0.34 |
| Shiyi Chen | 3 | 0 | 0.34 |
| Liuyi Ma | 4 | 0 | 0.68 |