Name
Abstract | ||
|---|---|---|
This paper provides a comparative study on the different techniques of classifying human activities that are performed using bodyworn miniature inertial and magnetic sensors. The classification techniques implemented and compared in this study are: Bayesian decision making (BDM), the least-squares method (LSM), the k-nearest neighbor algorithm (k-NN), dynamic time warping (DTW), support vector machines (SVM), and artificial neural networks (ANN). Daily and sports activities are classified using five sensor units worn by eight subjects on the chest, the arms, and the legs. Each sensor unit comprises a triaxial gyroscope, a triaxial accelerometer, and a triaxial magnetometer. Principal component analysis (PCA) and sequential forward feature selection (SFFS) methods are employed for feature reduction. For a small number of features, SFFS demonstrates better performance and should be preferable especially in real-time applications. The classifiers are validated using different cross-validation techniques. Among the different classifiers we have considered, BDM results in the highest correct classification rate with relatively small computational cost. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-14715-9_5 | HBU |
Keywords | Field | DocType |
different technique,human activity recognition,comparative study,different classifier,triaxial magnetometer,magnetic sensor unit,triaxial gyroscope,bdm result,different cross-validation technique,sensor unit,classification technique,triaxial accelerometer,magnetometers,feature selection,cross validation,inertial sensors,dynamic time warping,least square method,support vector machine,artificial neural network,principal component analysis,k nearest neighbor | Gyroscope,Activity recognition,Dynamic time warping,Pattern recognition,Feature selection,Accelerometer,Support vector machine,Inertial measurement unit,Artificial intelligence,Engineering,Artificial neural network | Conference |
Volume | ISSN | ISBN |
6219 | 0302-9743 | 3-642-14714-3 |
Citations | PageRank | References |
57 | 2.14 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kerem Altun | 1 | 194 | 10.30 |
| Billur Barshan | 2 | 313 | 27.83 |