diff --git a/Configuration.md b/Configuration.md
index 30b1d7d..4bf2830 100644
--- a/Configuration.md
+++ b/Configuration.md
@@ -133,10 +133,10 @@ const config: Config = {
   body: {
     enabled: true,
     modelPath: 'posenet.json',  // body model, can be absolute path or relative to modelBasePath
-                             // can be 'posenet' or 'blazepose'
+                             // can be 'posenet', 'blazepose', 'efficientpose', 'movenet'
     maxDetected: 1,          // maximum number of people detected in the input
                              // should be set to the minimum number for performance
-                             // only valid for posenet as blazepose only detects single pose
+                             // only valid for posenet as other models detects single pose
     minConfidence: 0.1,      // threshold for discarding a prediction
   },
 
diff --git a/Models.md b/Models.md
index 64a747a..c3560e8 100644
--- a/Models.md
+++ b/Models.md
@@ -15,10 +15,14 @@ Default models in Human library are:
 
 ## Notes
 
-**Body detection** can be switched from `PoseNet` to `BlazePose` depending on the use case:
+**Body detection** can be switched from `PoseNet` to `BlazePose`, `EfficientPose` or `MoveNet` depending on the use case:
 
 - `PoseNet`: Works with multiple people in frame, works with only partial people  
   Best described as works-anywhere, but not with great precision
+- `MoveNet`: Works with single person in frame, works with only partial people  
+  Modernized and optimized version of PoseNet with different model architecture
+- `EfficientPose`: Works with single person in frame, works with only partial people  
+  Experimental model that shows future promise but is not ready for wide spread usage due to performance
 - `BlazePose`: Works with single person in frame and that person should be fully visibile  
   But if conditions are met, it returns far more details (39 vs 17 keypoints) and is far more accurate  
   Furthermore, it returns 3D approximation of each point instead of 2D
@@ -55,6 +59,8 @@ Default models in Human library are:
 | NanoDet | 255K | nanodet.json | 7.3M | nanodet.bin | 229 |
 | MB3-CenterNet | 197K | nanodet.json | 1.9M | nanodet.bin | 267 |
 | FaceRes | 70K | faceres.json | 6.7M | faceres.bin | 524 |
+| MoveNet-Lightning | 158K | movenet-lightning.json | 4.5M | movenet-lightning.bin | 178 |
+| MoveNet-Thunder | 158K | movenet-thunder.json | 12M | movenet-thunder.bin | 178 |
 
 <br>
 
@@ -71,6 +77,8 @@ Default models in Human library are:
 - Hand Detection & Skeleton: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)
 - Body Pose Detection: [**BlazePose**](https://drive.google.com/file/d/10IU-DRP2ioSNjKFdiGbmmQX81xAYj88s/view)
 - Body Pose Detection: [**PoseNet**](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
+- Body Pose Detection: [**MoveNet**](https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html)
+- Body Pose Detection: [**EfficientPose**](https://github.com/daniegr/EfficientPose)
 - Age & Gender Prediction: [**SSR-Net**](https://github.com/shamangary/SSR-Net)
 - Emotion Prediction: [**Oarriaga**](https://github.com/oarriaga/face_classification)
 - Face Embedding: [**BecauseofAI MobileFace**](https://github.com/becauseofAI/MobileFace)