Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments

Table 5

Comparison of recognition accuracy of using MSRDailyActivity3D dataset.

Method	Recognition accuracy
Only joints position features [11]	68.0
Moving pose [6]	73.8
Motion features [30]	79.1
Hybrid features [31]	85.3
Actionlet ensemble [11]	85.7
Super normal vector [1]	86.2
Volumetric spatial features [32]	89.7
Spatiotemporal features learning [33]	90.4
Proposed method	93.2