Name
Title | ||
|---|---|---|
Machine-Learning Based Fitness Behavior Recognition from Camera and Sensor Modalities |
Abstract | ||
|---|---|---|
We implemented a prototype system to recognize fitness behaviors using the skeleton information from the camera modality and the accelerometer/gyro sensor values. In addition, by fusing the camera modality and the sensor modality, the recognition accuracy of the complex fitness behaviors can be improved. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/AIVR.2018.00058 | 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) |
Keywords | Field | DocType |
behavior-recognition,camera,sensor,multi-modal,fusion | Modalities,Computer vision,Accelerometer,Computer science,Feature extraction,Artificial intelligence,Behavior recognition | Conference |
ISBN | Citations | PageRank |
978-1-5386-9270-7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-Chieh Fang | 1 | 0 | 1.35 |
| Ting-Chen Mou | 2 | 0 | 0.68 |
| Shih-Wei Sun | 3 | 127 | 20.28 |
| Pao-Chi Chang | 4 | 242 | 44.68 |