Skip to main content
. Author manuscript; available in PMC: 2018 Mar 5.
Published in final edited form as: IEEE J Biomed Health Inform. 2017 Mar 2;22(2):525–536. doi: 10.1109/JBHI.2017.2676878

TABLE III.

Accuracy of depression severity classification using different per-frame and per-video based encoding for facial movement dynamics and head movement dynamics.

Representation Classification Accuracy (%) Weighted Kappa


Frame Video Remission Mild Moderate to Severe Mean
Facial Movement Dynamics

SDAE Outputs IFV 67.57 65.71 84.48 72.59 0.62±0.059
SDAE Outputs DFS 64.86 60.00 79.31 68.06 0.53±0.062
Raw IFV 59.46 60.00 81.03 66.83 0.52±0.062
Raw DFS 56.76 57.14 81.03 64.98 0.50±0.063

Head Movement Dynamics

SDAE Outputs IFV 62.16 54.29 79.31 65.25 0.51 ±0.063
SDAE Outputs DFS 59.46 48.57 77.59 61.87 0.48±0.064
Raw IFV 56.76 45.71 75.86 59.44 0.46±0.064
Raw DFS 54.05 40.00 74.14 56.06 0.40±0.065

Note: Weighted kappa is the proportion of ordinal agreement above what would be expected to occur by chance.