Performance Boosting of Scale and Rotation Invariant Human Activity Recognition (HAR) with LSTM Networks Using Low Dimensional 3D Posture Data in Egocentric Coordinates.
Saved in:
| Title: | Performance Boosting of Scale and Rotation Invariant Human Activity Recognition (HAR) with LSTM Networks Using Low Dimensional 3D Posture Data in Egocentric Coordinates. |
|---|---|
| Authors: | Ince, Ibrahim Furkan1,2, furkanince@ks.ac.kr |
| Source: | Applied Sciences (2076-3417); 12/1/2020, Vol. 10 Issue 23, p8474, 17p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 20763417 |
|---|---|
| DOI: | 10.3390/app10238474 |