diff --git a/README.md b/README.md
index 559a8ff..6b90d12 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,5 @@
 # pose-detect
 
-人员摔倒检测
\ No newline at end of file
+## 介绍
+
+本项目采用[yolov8](https://github.com/ultralytics/ultralytics)的关键点检测，利用关键点的数据进行预测
diff --git a/pose.py b/pose.py
index 6dedd95..44ed7c9 100644
--- a/pose.py
+++ b/pose.py
@@ -62,21 +62,13 @@ def getAnglebypoint(point_a, point_b, point_c):
 def is_fallen(keypoints, boxes):
     keypoints = keypoints.cpu().numpy().astype('uint32')
     Left_Shoulder = keypoints[5][:2]
-    # if Left_Shoulder[0] + Left_Shoulder[1] == 0: self.ATHERPOSE += 1
     Right_Shoulder = keypoints[6][:2]
-    # if Right_Shoulder[0] + Right_Shoulder[1] == 0: self.ATHERPOSE += 1
     Left_Hip = keypoints[11][:2]
-    # if Left_Hip[0] + Left_Hip[1] == 0: self.ATHERPOSE += 1
     Right_Hip = keypoints[12][:2]
-    # if Right_Hip[0] + Right_Hip[1] == 0: self.ATHERPOSE += 1
     Left_Knee = keypoints[13][:2]
-    # if Left_Knee[0] + Left_Knee[1] == 0: self.ATHERPOSE += 1
     Right_Knee = keypoints[15][:2]
-    # if Right_Knee[0] + Right_Knee[1] == 0: self.ATHERPOSE += 1
     Left_Ankle = keypoints[15][:2]
-    # if Left_Ankle[0] + Left_Ankle[1] == 0: self.ATHERPOSE += 1
     Right_Ankle = keypoints[16][:2]
-    # if Right_Ankle[0] + Right_Ankle[1] == 0: self.ATHERPOSE += 1
 
     Shoulders_c = [(Left_Shoulder[0] + Right_Shoulder[0]) // 2,
                    (Left_Shoulder[1] + Right_Shoulder[1]) // 2]
@@ -149,20 +141,6 @@ def is_fallen(keypoints, boxes):
     if horizontal_threshold < 30:
         status_score['Fall'] += 0.6
         status_score['Sit'] += -0.15
-    # if 25 < Hip_Knee_Shoulders_angle < 145 and 75 < human_angle < 125:
-    #     status_score['Sit'] += 0.8
-    #     status_score['Stand'] += -0.035
-    #     if vertical_threshold > 30:
-    #         status_score['Sit'] += +0.15
-    #     _weight = f'{_weight}, [6]Stand:-0.035, Sit:+0.15'
-    # elif Hip_Knee_Shoulders_angle > 120 and 75 < human_angle < 125:
-    #     status_score['Stand'] += 0.2
-    # elif Hip_Knee_Shoulders_angle > 120 and -25 < human_angle < 25:
-    #     status_score['Fall'] += 0.2
-    # else:
-    #     status_score['Fall'] += 0.05
-    #     status_score['Stand'] += 0.05
-    #     _weight = f'{_weight}, [7]Stand:+0.05, Fall:+0.05'
 
     score_max, status_max = max(zip(status_score.values(), status_score.keys()))