Research Article
A Human Activity Recognition System Using Skeleton Data from RGBD Sensors
Table 5
Precision (%) and recall (%) of the proposed algorithm, in the different environments of CAD-60, with
and
.
| Location | Activity | “New-person” | Precision | Recall |
| Bathroom | Brushing teeth | | | Rinsing mouth | | | Wearing contact lens | | | Average | | |
| Bedroom | Talking on phone | | | Drinking water | | | Opening pill container | | | Average | | |
| Kitchen | Cooking-chopping | | | Cooking-stirring | | | Drinking water | | | Opening pill container | | | Average | | |
| Living room | Talking on phone | | | Drinking water | | | Talking on couch | | | Relaxing on couch | | | Average | | |
| Office | Talking on phone | | | Writing on whiteboard | | | Drinking water | | | Working on computer | | | Average | | |
| | Global average | | |
|
|