Research Article
Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments
Table 2
Recognition results of proposed HAR system.
| Actions | Accuracy |
| High arm wave | 93.7 | Horizontal arm wave | 90.4 | Hammer | 89.2 | Hand catch | 95.5 | Forward punch | 91.1 | High throw | 89.7 | Drawing X | 93.4 | Drawing tick | 97.1 | Drawing circle | 92.3 | Hand clap | 89.7 | Two-hand wave | 94.5 | Side boxing | 92.4 | Bending | 86.8 | Forward kicking | 91.3 | Side kicking | 98.6 | Jogging | 96.7 | Tennis swing | 87.1 | Tennis serve | 86.9 | Golf swing | 97.8 | Pickup and throw | 94.3 |
| Mean recognition accuracy = 92.4 |
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