Research Article
Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments
Table 1
Comparison of recognition accuracy using IM-DailyDepthActivity.
| Method | Recognition accuracy |
| Recognized body parts features [19] | 28.4 | Eigenjoints [20] | 40.3 | Super normal vector [1] | 51.6 | Depth silhouettes context features [21] | 57.69 | Proposed method | 63.7 |
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