diff --git a/config/demo/demo.yaml b/config/st_gcn/kinetics_skeleton/demo.yaml
similarity index 62%
rename from config/demo/demo.yaml
rename to config/st_gcn/kinetics_skeleton/demo.yaml
index c40dd3eda..49e1e3489 100644
--- a/config/demo/demo.yaml
+++ b/config/st_gcn/kinetics_skeleton/demo.yaml
@@ -1,5 +1,4 @@
-work_dir: ./work_dir/demo
-weights: ./work_dir/recognition/kinetics_skeleton/ST_GCN//epoch10_model.pt
+weights: ./models/kinetics-st_gcn.pt
 
 # model
 model: net.st_gcn.Model
@@ -12,5 +11,4 @@ model_args:
     strategy: 'spatial'
     
 # training
-device: [0]
-
+device: [0]
\ No newline at end of file
diff --git a/net/st_gcn.py b/net/st_gcn.py
index ce6003a8f..21fb694c5 100644
--- a/net/st_gcn.py
+++ b/net/st_gcn.py
@@ -107,9 +107,17 @@ def extract_feature(self, x):
             x, _ = gcn(x, self.A * importance)
 
         _, c, t, v = x.size()
-        x = x.view(N, M, c, t, v).permute(0, 2, 3, 4, 1)
+        feature = x.view(N, M, c, t, v).permute(0, 2, 3, 4, 1)
 
-        return x
+        # global pooling
+        x = F.avg_pool2d(x, x.size()[2:])
+        x = x.view(N, M, -1, 1, 1).mean(dim=1)
+
+        # prediction
+        x = self.fcn(x)
+        x = x.view(x.size(0), -1)
+
+        return x, feature
 
 class st_gcn(nn.Module):
     r"""Applies a spatial temporal graph convolution over an input graph sequence.
diff --git a/processor/demo.py b/processor/demo.py
index 0ef653d11..82e50fc68 100644
--- a/processor/demo.py
+++ b/processor/demo.py
@@ -47,7 +47,7 @@ def start(self):
         with open(output_sequence_path, 'w') as outfile:
             json.dump(video_info, outfile)
         if len(video_info['data']) == 0:
-            print('Openpose can not find human skeletons from this video.')
+            print('Can not find pose estimation results.')
             return
         else:
             print('Pose estimation complete.')
@@ -60,7 +60,7 @@ def start(self):
 
         # extract feature
         print('Network forwad.')
-        feature = self.model.extract_feature(data)[0]
+        output, feature = self.model.extract_feature(data)[0]
         intensity = feature.abs().sum(dim=0)
         intensity = intensity.cpu().detach().numpy()
 
@@ -95,7 +95,7 @@ def get_parser(add_help=False):
         parser.add_argument('--output_dir',
             default='./data/demo_result',
             help='Path to save results')
-        parser.set_defaults(config='./config/demo/demo.yaml')
+        parser.set_defaults(config='./config/st_gcn/kinetics_skeleton/demo.yaml')
         parser.set_defaults(print_log=False)
         # endregion yapf: enable