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