Name
Title | ||
|---|---|---|
Analyzing body movements within the Laban Effort Framework using a single accelerometer. |
Abstract | ||
|---|---|---|
This article presents a study on analyzing body movements by using a single accelerometer sensor. The investigated categories of body movements belong to the Laban Effort Framework: Strong-Light, Free-Bound and Sudden-Sustained. All body movements were represented by a set of activities used for data collection. The calculated accuracy of detecting the body movements was based on collecting data from a single wireless tri-axial accelerometer sensor. Ten healthy subjects collected data from three body locations (chest, wrist and thigh) simultaneously in order to analyze the locations comparatively. The data was then processed and analyzed using Machine Learning techniques. The wrist placement was found to be the best single location to record data for detecting Strong-Light body movements using the Random Forest classifier. The wrist placement was also the best location for classifying Bound-Free body movements using the SVM classifier. However, the data collected from the chest placement yielded the best results for detecting Sudden-Sustained body movements using the Random Forest classifier. The study shows that the choice of the accelerometer placement should depend on the targeted type of movement. In addition, the choice of the classifier when processing data should also depend on the chosen location and the target movement. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3390/s140305725 | SENSORS |
Keywords | Field | DocType |
Laban movement analysis,effort category,accelerometers,machine learning,body movements,accelerometers placement | Data collection,Computer vision,Accelerometer,Artificial intelligence,Svm classifier,Engineering,Classifier (linguistics),Random forest,Laban Movement Analysis | Journal |
Volume | Issue | ISSN |
14 | 3.0 | 1424-8220 |
Citations | PageRank | References |
6 | 0.66 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Basel Kikhia | 1 | 54 | 5.48 |
| Miguel Gomez | 2 | 6 | 0.66 |
| Lara Lorna Jiménez | 3 | 6 | 1.00 |
| Josef Hallberg | 4 | 34 | 2.90 |
| Niklas Karvonen | 5 | 9 | 1.72 |
| Kåre Synnes | 6 | 192 | 25.16 |